Responsibilities

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make impact happen with a career at TikTok.

The Growth team plays a core role in acquisition, activation, and retention of billions of users, through our globally popular products such as TikTok, Resso, CapCut, Helo, etc. We are building platform foundation, leveraging data and ML models, and providing end-to-end solutions to power global growth of ByteDance products. Typical Growth projects including referral, notifications, paid ads, etc.

You will:

- Develop comprehensive product metrics and quantitative measurement structure based on product stages and business purposes.

- Prototype analysis pipelines to provide insights, and provide quick responses to business inquiries and events;

- Conduct routine and non-routine end-to-end analyses with large, complex data sets, and make recommendations on appropriate solutions;

- Cooperate with PM / Ops team / R&D, promote the implementation of optimization scheme, and bring about the actual improvement and growth of the business.

Qualifications

- Bachelor's degree or above in Statistics, Applied Mathematics, Computer Science or a related field

- 5+ years of working experience in Data Science, algorithmic engineering, or machine learning

- Proficient in SQL/Hive/Python or R, experienced in massive data manipulation, machine learning & modeling

- Strong technical leadership combined with hands-on data mining and machine learning application experience

- Solid technical & knowledge of A/B testing methodologies, can consistently explore and find the best practice

- Insightful data sense and rigorous logical mindset, capable of providing systematic approaches to solve business problems;

- Quickly familiar with and starting a new business; Can lead a small project team to support business

- Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques

- Have a strong ability to work under pressure, have the courage to overcome difficulties, and accept challenges.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Responsibilities

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including San Jose, Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imagination thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About The Team:

The mission of the TikTok Eng-AI Innovation Center is to explore cutting-edge AGI technologies, including but not limited to LLM, multi-modal LLM (video/image/audio/text/code), etc., to let machine better understand user creations on Tiktok platform. Regarding to video/image/audio/text, enhanced content understanding can bring better user experience of searching, recommendation, and can more accurately identify and defend internet abuse and fraud on our platform. Regarding to code, our developed LLM aims to automatically re-organize/optimize Tiktok codebase, and make the code/coding become more accessible for Tiktok engineers.

Job Overview

We are looking for an experienced Data Science & Engineering expert to join our team and be responsible for data collection and preparation for large language models (LLMs). You will be responsible for sourcing high-quality data from various sources, managing external annotation teams, and working closely with the R&D team to ensure model training and optimization.

Key Responsibilities

Data Acquisition:

- Responsible for data collection for large language models, including:

- Sourcing ready-made data from public datasets, commercial data providers, etc.

- Developing data scraping tools to acquire data from the internet and other sources.

- Managing external annotation teams to ensure high-quality data annotation.

Data Preparation:

- Collaborate with the R&D team to define data annotation rules and quality standards.

- Review annotation results to ensure data quality meets model training requirements.

- Explore industry-leading data production methods to continually optimize data acquisition and preparation processes.

Data Compliance:

- Collaborate with the legal team to handle data compliance issues, ensuring data acquisition and usage comply with relevant laws and regulations.

Team Management:

- Responsible for recruitment and management of internal data products or operations teams.

Qualifications

Minimum Qualifications

1. Experience in traditional AI data collection or data annotation areas.

2. Excellent communication skills, strong initiative, excellent product and business integration capabilities, strong execution and results-oriented.

3. Proven experience in leading overseas teams.

Preferred Qualifications

1. Passion for technology, good communication skills and team spirit

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Work hours: Monday - Friday, office hours

Location: Redhill, Kay Siang

Contract period: 1 year contract

Job scope:

• To support research and evaluation projects on offender rehabilitation by:
• Collecting and analyzing data
• Developing surveys and conducting interviews
• Presenting findings and writing reports
• Other duties such as supporting the preparation of the Annual Report and preparing statistics on client profiles, may be assigned where necessary

Requirements:

• Degree
• Good analytical skills
• Proficiency in Excel and SPSS, is preferred
• Experience with data analysis and/or conducting qualitative analysis will be advantageous
• Only Singaporeans

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile

We regret to inform that only shortlisted candidates will be notified.

https://go.persolkelly.com/job/apply/7636

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R22108817 Lin JingYuan

Contract: 1 year

Location: Redhill

Responsibilities

• Collecting and analysing data
• Developing surveys and conducting interviews
• Presenting findings and writing reports
• Other duties such as supporting the preparation of the Annual Report and preparing statistics on client profiles, may be assigned where necessary

Requirements

• Degree
• Good analytical skills
• Proficiency in Excel and SPSS, is preferred
• Experience with data analysis and/or conducting qualitative analysis will be advantageous

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

https://go.persolkelly.com/job/apply/9917

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394 • Reg No: R23117066 (CHEW KIA ZHENG)

COMPANY BACKGROUND

Haier is the number one brand of Major Appliances in the world with 9.7 percent of global market share. Headquartered in Qingdao, Haier has over 80,000 employees across 30 countries in the world.

Haier Singapore is one of the holding companies under Haier Group. As the integrated regional centre, Haier Singapore is the main platform to provide procurement, trading, R&D and big data supports to over 80 countries in Asia, Europe, Africa and North America markets.

As the continuous demands from global businesses, we are looking for experienced Data Science Engineer to join our global big data team.

KEY RESPONSIBILITIES

Based in Singapore, you will be part of the global big data team and responsible for the development, maintenance, integration, data governance and data reporting of Haier’s overseas business systems, including:

• Work closely with data scientists, analysts and internal and external users to deliver satisfying data products.
• Provide ETL solution including significant integrations with tier one bank core systems and between complex business platforms.
• Support Enterprise Data Warehouse.
• Provide internal training on various planning frameworks developed by Data Science Engineers.

KEY REQUIREMENTS

The ideal candidates we are looking for should be seasoned Data Science Professionals with:

• Degree in computer science or its equivalent
• With minimum 3 years of experience in Data Science Engineering and object-oriented development within a commercial environment.
• Wide experience across databases (Oracle, SQL Server, MySQL), ETL (TALEND, Kettle, Datastage, Informatica, Sqoop) and Business Intelligence tools.
• Experienced in large scale data warehouse build and support, Oracle, SQL Server, Oracle ExaData, Teradata architecture and design, logical and physical data modelling, forward engineering to XSD, XSLT for XML messaging.
• Knowledge of SAP ERP, Python, Business Object, Bex Analyzer, ABAP, BAPI, BSP, Java, analytics report.
• Team player with good people skills, able to work with people at all levels.
• Strong communication, presentation and interpersonal skills.

Work hours: Monday - Friday, office hours

Location: Redhill, Kay Siang

Contract period: 1 year contract

Salary: $2,980

Job scope:

• To support research and evaluation projects on offender rehabilitation by:
• Collecting and analyzing data
• Developing surveys and conducting interviews
• Presenting findings and writing reports
• Other duties such as supporting the preparation of the Annual Report and preparing statistics on client profiles, may be assigned where necessary

Requirements:

• Degree
• Good analytical skills
• Proficiency in Excel and SPSS, is preferred
• Experience with data analysis and/or conducting qualitative analysis will be advantageous
• Only Singaporeans

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

We regret to inform that only shortlisted candidates will be notified.

https://go.persolkelly.com/job/apply/9917

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R22108817 Lin JingYuan

Fixed income Multi Asset, Global Macro

Client Background

They are a leading global long term investment firm. One of the world’s largest sovereign wealth funds, investing in more than 40 countries across asset classes and businesses. Managing broad array of asset classes – global interest rate, inflation, currency, equity, credit, commodity and volatility.

Responsibilities:

• Lead and mentor a team of Strategists to enhance the global macro team’s investment process
• Screen investment opportunities, conduct FVT analysis and perform nowcasting/forecasting for insights
• Quantify potential portfolio risks and provide portfolio construction related recommendations
• Monitor asset movements, identify market trends and provide insights.

Requirements:

• Advanced degree in Mathematics, Statistics, Physics, Computer Science, Engineering or Economics
• Min 8 – 12 years of experience in quantitative role within finance as a Macro Quant
• Excellent understanding of Macroeconomics, Fixed Income Instruments, Options and Derivatives
• Proficiency in R or Python and SQL

Email: nurul.amirah@gmprecruit.com

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | Nurul Amirah | Registration No: R22108940

Desktop Support Engineer (Band 1)

Working Location: Tuas / Jurong / Changi (Client Site)
Working Days : 5 Days ( Mon- Fri)
Working Hours: 8am-5pm
Salary Range: $2,600 - $2,800

Job Description

• Desktop Technician will provide day to day local\remote desktop support, receive inbound calls, answer questions, troubleshoot and document steps performed to resolve challenges with hardware, software and application issues in a ticketing system.
• Facilitate customer resolution for calls and engage their supervisors and managers to ensure operational consistency across all shifts within the IT Support Center.
• Desktop Support Engineer provides Break Fix, fault diagnosis and resolution.
• Providing fault analysis to customer’s various core operating systems and platforms, as well be able to provide support and apply desktop fault resolution for the approved application suite.

Position Responsibilities and Functions

• Provide first/second level contact and problem resolution for customer issues.
• Work with Third Party Vendors to remediate complex AV issues as needed.
• Provide timely communication on issue status and resolution.
• Maintain ticket updates for all reported incidents.
• Install, upgrade, support and troubleshoot XP, Windows 7, Windows 8.1, Windows 10 and Microsoft Office 2010, Cisco Jabber, another authorized desktop application.
• Should have basic knowledge of Mac operating system, to support Apple pc users.
• Install, upgrade, support and troubleshoot for printers, computer hardware.
• Performs general preventative maintenance tasks on computers, laptops, printers.
• Performs remedial repairs on Desktops, laptops, printers and any other authorized peripheral equipment.
• Use diagnostic tools to troubleshoot problems associated with network connectivity, and workstation hardware/software.
• Broad experience of IT with basic understanding of Networks, Servers, Audio/Visual, Smart Devices and Telecoms.
• This position requires the ability to work in a project-based environment requiring flexibility and teamwork. Performs other duties as assigned.

Qualifications and Skills

• Bachelor Degree or equivalent in Computer Science or related field.
• CompTIA A+, Microsoft Certified Professional (MCP) or better.
• 1-2 years’ experience in Windows Desktop support.
• Windows 7-10, Microsoft Active Directory, utilization of GPOs, MS Office 365, PC hardware installation and troubleshooting, Enterprise anti-virus solutions, Helpdesk ticketing systems.
• Mobile device management including IOS and Android devices, Enterprise encryption solutions, Windows PC/laptop management via Active Directory.
• Proven analytical, troubleshooting and problem solving skills.
• Willing to work off-hours and weekends when required for projects or emergency support.

In addition the Band 1 Technician will mentor and assist Band 0 technicians in their work and provide support to Band 2 Technicians in resolving tickets.

WhatsApp: https://wa.me/6591044149 (Shermaine)

Siah Sze Ming Reg No: R24125414

The Supreme HR Advisory Pte Ltd EA No: 14C7279

1. Supervise the team to establish an industrial database and update basic data in a timely and accurate manner.
2. Be responsible for the team to conduct variety research and analysis, write regular reports, and organize weekly work meetings.
3. Actively expand spot business channels and be responsible for the spot and futures business of related varieties.
4. Output independent research viewpoints, formulate derivative hedging and investment strategies, and manage derivative investment portfolios.
5. Have rich investment experience in agricultural product futures varieties such as cotton and rubber.
6. Be familiar with the Chinese market environment and be able to communicate proficiently in Mandarin.
7. A post - graduate degree or above.
8. Possess strong interpersonal communication skills and learning ability.
9. Be proactive in work and self-motivated, have a team spirit and good professionalism.

Position:Technical Support Engineer

Location: Henderson Road

Working Hour: 5 Days work Week 9AM – 6PM

Salary: $4,500 - $5,000

Job Scope

• Be the primary technical contact for customers and in house repair jobs
• Assist customers in the repair and maintenance activities, but also with Providing spare parts and associate services
• Identify and translate customers’ requests ;
• Handle technical incidents and establish reports (troubleshooting, expertise, gathering useful information for analysis
• Guarantee, when necessary, the proper processing of offers : spare parts, onsite interventions and repairs.
• Coordinate onsite interventions actions and ensure an ongoing communication to the customer.
• Provide technical assistance to the Repairs Department and Field Service Technicians + Business Centers ;
• Occasionally promote to customers, technical training sessions and sales of spare parts and repairs ;
• Initiate, together with the appropriate stakeholders, the implementation of corrective actions that arose from customer complaints/claims.
• Be the technical interface within the departments, such as Engineering, Purchasing, Sales, Production, Global Service and customers
• Identify potential sales opportunities and forward the information to the sales teams.
• Identify the spare parts needed for Sales team to quote to customer
• Recommend spare parts needed for regular maintenance/during troubleshooting
• Acts as last form of technical checks to make sure the spares quoted is according to customer’s requirement
• curb warranty costs.
• Be responsible for the collection of outstanding payments for the Customer Service department
• Maintain proper records of interaction with customers within the CRM tool
• Control offers and order confirmation as per applicable procedures

Requirements

• Have 3 to 5 years of experience in Mechanical Engineering. Marine engineering with mechanical knowledge will also be considered.
• Degree in Mechanical Engineering
• With hands on experience on compressors, turbines and pumps mechanically
• Be willing to travel if needed.

✅The Supreme HR Advisory Pte Ltd EA No: 14c7279

✅SAMUEL SIAW Reg No: R24124745

Purpose of the role

The internal application of generative AI (Gen AI) within our core Research and Consulting operations will be pivotal to our ability to optimise and interpret sources, accelerate the production of deliverables and augment our collective human intelligence.

Gen AI clearly has a huge potential for our industry and our business, but the successful implementation required to deliver on that potential requires focus, partnership, planning and communication.

Across the business, we have a wealth of research knowledge, technical skills, and interest in AI that we need to harness in a thoughtful and coordinated way. To that end, the Director of Gen AI will continue to lead the commercial application and integration of generative AI into Passport and our other client-facing platforms. Our Enterprise Technology function will focus on driving broader AI adoption across business-wide applications such as Microsoft Copilot. This structure allows for a clear focus on Research and Consulting-specific AI objectives—those that drive innovation and efficiency from within—under the leadership of a newly appointed 'Head of Research AI'.

The Head of Research AI will report to the Director of Gen AI and work closely with Enterprise Technology, Data Science, and other departments to ensure maximum impact and minimum duplication of efforts. This collaborative approach will enable us to leverage our collective expertise while maintaining alignment with our overall AI strategy.

Description

We are looking for a results focused leader to convert the potential we know Gen AI has into new processes and innovative tools that make a measurable difference to how our Research and Consulting teams work. In this pivotal role, you will drive the development and implementation of novel Gen AI applications through a group of dedicated Project Managers and work with Data Science and Technology stakeholders to ensure optimal delivery.

Our Research and Consulting teams are your customers and your ability to marry successful technical implementation with proactive communication and stakeholder management is arguably as important as the Gen AI application itself.

Gen AI is an area that is quickly evolving and so keeping abreast of developments from the external environment, as well as where else within the business it is being implemented will be required.

Key Responsibilities:

Strategic Leadership:

• Collaborate closely with the Director of Gen AI to define and lead the organisation's research strategy for Gen AI, ensuring alignment with the overall business goals and market intelligence needs.
• Build and maintain a network to identify ideas, emerging trends and potential disruptions within the Gen AI landscape, both internally and externally.
• Develop a framework for evaluating ideas and initiatives, determining resource allocation based on value and scalability, and applying this framework across all or part of the research team’s activities.
• Utilise this framework to assess the value of building in-house solutions versus buying external ones.
• Secure executive buy-in and allocate resources effectively to ensure successful execution of the Research and Consulting agendas.

Team Management:

• Inspire a high-performing team of Gen AI Project Managers, fostering a culture of collaboration, innovation, and continuous learning.
• Empower and mentor your team, providing clear direction, setting ambitious goals, and fostering a supportive environment for growth.
• Implement effective performance management practices to ensure individual and team accountability for achieving research objectives.
• Define the optimal balance of full-time team members, while also mentoring and developing individuals, ideas, and initiatives.

Gen AI Expertise:

• Collaborate with internal engineering teams to ensure seamless integration of Gen AI solutions into existing workflows and infrastructure.
• Stay abreast of the latest advancements in Gen AI research and identify opportunities for application within the market intelligence domain.
• Contribute to the development of internal best practices and guidelines for responsible AI development and deployment.

Project Oversight & Guidance:

• Offer strategic guidance and oversight to Gen AI Project Managers, ensuring that projects are delivered on time, within budget, and meet established quality standards and required ROI levels.
• Develop a comprehensive research roadmap, prioritising projects with the highest potential impact on market intelligence capabilities.
• Proactively identify and address potential roadblocks, ensuring efficient project execution and timely delivery of high-impact results.

Communication & Change Management:

• Champion change management initiatives to ensure successful adoption of Gen AI solutions within the organisation, addressing potential concerns and fostering a culture of innovation.
• Communicate and advocate for the potential of AI, while also providing clear guidance on its limitations and most effective applications.
• Foster strong relationships with internal teams across the organisation, including Research, Consulting, Data Science, Technology and Enterprise Systems.
• Develop compelling presentations and reports to showcase the value proposition of Gen AI research and secure ongoing support from leadership.

Skills & Experience

• Proven track record of leading and managing research or project management teams, demonstrably delivering successful outcomes.
• In-depth knowledge and understanding of market intelligence principles and practices, with a passion for leveraging AI to enhance insights generation.
• A strong passion for innovation and a demonstrably positive impact through the application of Gen AI.
• Excellent communication, collaboration, and presentation skills, with the ability to tailor messages to diverse audiences.
• Excellent problem-solving and analytical skills
• Experience in successfully managing and driving change initiatives within a complex organisation (highly desirable).
• A true Euromonitor player. Displaying all our core values of curiosity, integrity, empowerment, diversity and collaboration.
• Minimum 8+ years of experience in research and/or consulting, preferably a combination of both.

Responsibilities

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including San Jose, Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imagination thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About The Team:

The mission of the TikTok Eng-AI Innovation Center is to explore cutting-edge AGI technologies, including but not limited to LLM, multi-modal LLM (video/image/audio/text/code), etc., to let machine better understand user creations on Tiktok platform. Regarding to video/image/audio/text, enhanced content understanding can bring better user experience of searching, recommendation, and can more accurately identify and defend internet abuse and fraud on our platform. Regarding to code, our developed LLM aims to automatically re-organize/optimize Tiktok codebase, and make the code/coding become more accessible for Tiktok engineers.

Job Overview

We are looking for an experienced Data Science & Engineering expert to join our team and be responsible for data collection and preparation for large language models (LLMs). You will be responsible for sourcing high-quality data from various sources, managing external annotation teams, and working closely with the R&D team to ensure model training and optimization.

Key Responsibilities

Data Acquisition:

- Responsible for data collection for large language models, including:

- Sourcing ready-made data from public datasets, commercial data providers, etc.

- Developing data scraping tools to acquire data from the internet and other sources.

- Managing external annotation teams to ensure high-quality data annotation.

Data Preparation:

- Collaborate with the R&D team to define data annotation rules and quality standards.

- Review annotation results to ensure data quality meets model training requirements.

- Explore industry-leading data production methods to continually optimize data acquisition and preparation processes.

Data Compliance:

- Collaborate with the legal team to handle data compliance issues, ensuring data acquisition and usage comply with relevant laws and regulations.

Team Management:

- Responsible for recruitment and management of internal data products or operations teams.

Qualifications

Minimum Qualifications

1. Experience in traditional AI data collection or data annotation areas.

2. Excellent communication skills, strong initiative, excellent product and business integration capabilities, strong execution and results-oriented.

3. Proven experience in leading overseas teams.

Preferred Qualifications

1. Passion for technology, good communication skills and team spirit

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Main Responsibilities

• Being part of a team of data scientists to build, deploy and monitor AI/ML models to generate values for the business.
• Manage key stakeholders’ expectations, set project directions, timeline, and deliverables.
• Ideate and design solutions for process re-engineering to embed the AI/ML model into business processes.
• Experimental design to attribute value contribution of data science models.
• Research and development on new tools and evaluate bringing it into client’s tech stack.
• Create a high-performing team culture and keep up to date with latest developments in data science.

Qualifications & Experience

• Bachelor’s degree or above in Statistics, Computer Science, Mathematics, Business Analytics, Economics, or relevant fields.
• Masters in Statistics or any quantitative analytics or equivalent professional qualification.
• At least 2 – 5 years of relevant experience in financial services industry, understand drivers of business and able to apply data solution to deliver desirable outcomes.
• Individual should have experience in dealing with large customers’ data set, able to generate insights from complex analysis and models and communicate effectively to stakeholders.
• Individual should have a track record of building and deploying data science models that have a measured value contribution to the business.
• Individual should have insurance domain knowledge.
• Individual should have experience in leading a small team.
• Proficient in AWS, Snowflake, Airflows, SageMeta (AWS ML).

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities, and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

Functional Description

Decision Science colleagues will serve as a key member of the Credit and Fraud Risk organization. We seek a thought-leader and a problem-solver who can blend business, technical, and industry best practices when it comes to developing the analyses, models, and algorithms that power our customers’ digital experiences.

This critical team is responsible for managing enterprise risks throughout the customer lifecycle, across our consumer and commercial businesses, and across all our global products. We develop industry-first data capabilities, build profitable decision-making frameworks, create machine learning-powered predictive models, and improve customer servicing strategies.

Our Decision Science teams use industry leading modeling and AI practices to predict customer behavior. We develop, deploy and validate predictive models and support the use of models in economic logic to enable profitable decisions across credit, fraud, marketing and servicing optimization engines.

Responsibilities:

• Work with massive amounts of digital data (Web, App, API) and sophisticated tools in an industry leading Big Data environment.
• Planning and delivering of high performing models, meeting agreed deadlines and ensuring accurate, efficient implementation of models in production systems
• Learning industry developments and best practices, conducting research and development to incorporate best in class modelling methodologies and share with the team
• Performing annual reviews, performance monitoring reviews, retrains and remediation activity on models as required
• Build everything from basic reports to advanced machine learning models and algos to drive improvements to our customer’s online and mobile app experiences.
• Work with product owners to revolutionize the product and content design with a data-driven approach
• Collaborate with tech partners to test, implement and deploy modeling solutions to production system.
• Develop insights into customer behavior and introduce new approaches to transform complex behavioral data into actionable information
• Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
• Innovate with a focus on developing newer and better approaches using big data & machine learning solutions
• Lead, engage, and inspire a large team of high performing risk management professionals

Qualifications:

• PhDs in a quantitative field (Computer Science, Statistics, Mathematics, Physics, Operation Research and etc.) with hands-on experience leveraging sophisticated analytical and machine learning techniques. PhD degree with practical experiences NLP is a significant plus.
• Expertise in an analytical language (Python, R or the equivalent), and experience with databases (Hive, SQL, or the equivalent). Knowledge of SAS is a plus but not required.
• Deep understanding of machine learning/statistical algorithms such as deep learning and boosting. Experience with data visualization is a plus
• Demonstrated ability to frame business problems into mathematical programming problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solution and deliver business insights.
• Ability to work effectively in a team environment
• Independent thinker who’s organized, has great attention to detail, and can multi-task
• Strong communication skills
• Strong people leader and team player with a demonstrated ability to develop team members and create highly effective and results-driven culture
• Strong relationship management and proven track record of positively collaborating and partnering with stakeholders
• Ability to learn quickly and work independently with sophisticated, unstructured initiatives
• Ability to integrate with cross-functional business partners worldwide
• Proficient in presentation tools, including Excel and PowerPoint

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Acronis is revolutionizing cyber protection—providing natively integrated, all-in-one solutions that monitor, control, and protect the data that businesses and lives depend on. We are looking for a Senior Software Developer to join our mission to create a #CyberFit future and protect all data, applications and systems across any environment.

As the Senior Software Developer, you will develop and enhance Backup, Disaster Recovery (DR), and other Acronis services protecting data and ensuring business continuity in any scenario. You will be working with Python, Go Lang and C++ to build resilient and secure solutions that meet the highest industry standards.

WHAT YOU'LL DO

• Develop and maintain Backup and DR solutions using Python, Go Lang and C++.
• Perform code reviews and integrate security improvements.
• Collaborate with the security team to ensure the resilience of the services.
• Troubleshoot and resolve issues related to Backup and DR services.
• Analyze and optimize the performance of the solutions.
• Help your teammates adhere to secure software development practices.

WHAT YOU BRING (EXPERIENCE & QUALIFICATIONS)

• Proficiency in Python, Go Lang and C++.
• Experience in developing Backup, DR, or similar services.
• Willing to review source code created by others and propose how to make it more secure.
• Knowledge of software engineering principles (standard algorithms, data structures, multithreading, multiprocessing, web services, REST API)
• Experience with build and deployment technologies, CI/CD systems (Jenkins, Git, Bitbucket etc).
• Knowledge of secure software development practices (OWASP SAMM, NIST 800-64, ISO/IEC 27034 etc) would be a plus.
• Training and certifications in Secure Software Development, for example by SANS Institute, is a plus.