Total 37 Education / Training job vacancies in Bengaluru

ABOUT THE JOB

Nielsen Customer Success team is a modern service team transforming the way we serve our clients with new and updated tools to help our teams get the job done quickly and easily. We are the team that partners with clients to fuse data, science, and the talents of our people to provide measurement and improvement for the clients and markets we serve. We are the key link between Nielsen and clients. Our service and delivery is the reason clients will continue to invest in our products and service.

RESPONSIBILITIES

• Support day to day contacts at the client, contributing to the achievement of client satisfaction targets
• Build effective relationships with client representatives
• Own reporting, including report maintenance, business issue analysis, and solution integration
• Provide training to clients on Nielsen tools and solutions
• Trouble-shoot and resolve client inquiries related to databases, software, coding, and other key aspects that impact client deliverables
• Continue to broaden knowledge of client business issues and needs, Nielsen services, and the broader industry
• Liaise with other teams as necessary (e.g. operations, off-shore partners, technology, and data science) to solve client business questions and inquiries
• Monitor the progress of inquiries against agreed service levels and escalate any issues to the appropriate team
• Build and maintain relationships with other client support teams to ensure quality and timely service levels are exceeded
• Work closely with Practice/Retail Analytic Consulting teams, Operations, and Data Science to ensure all work is connected to client business issues and is delivered according to established timelines and in a way that contributes to driving client outcomes

Qualifications

ABOUT YOU

The Client Response Associate is responsible for executing specific client support-related activities including the delivery of reporting to our clients and/or client-focused data support, resolution and triage, and contract & order-to-invoice execution. The focus is to create high levels of client satisfaction by delivering accurate and insightful responses that contribute to client outcomes

QUALIFICATION

Good understanding of FMCG industry and trends

Solid Knowledge of Nielsen products and services

1-2 years Nielsen Client Service at Response and/or industry experience

Participation in a Project

Good interpersonal skills – ability to develop relationships internally and at the client organization

Strong problem-solving skills, with gradually declining supervision

Strong time management skills and prioritization ability, with gradually declining supervision

Able to respond to inquiries of moderate complexity with almost zero supervision

Able to respond on enquiries of higher complexity with limited supervision

Strong storytelling skills, able to take clients through the solution offered and get their buy-in and satisfaction

Able to coach and support Jr. Executives

Strong levels of clients satisfaction achieved, acknowledgement from the client on a strong mindset to help them, as well as of the results per se.

This Sr. Product Trainer role, reporting to the Director of Product Training, plays a crucial role in empowering our internal employees and customers. You'll design and deliver engaging training programs (classroom, online, eLearning) to equip employees with the knowledge and skills to master our product functionalities and technical aspects. Additionally, you'll take the lead in developing comprehensive training curriculums and crafting clear, step-by-step product documentation, ensuring seamless user experience for both internal and external audiences.

We seek a passionate training professional with strong technical expertise (Cloud, Data, AI/Generative AI) who can transform complex functionalities into actionable knowledge for adult learners. Excellent communication and instructional design skills are a must.

DUTIES & RESPONSIBILITIES (Training & Documentation)

• Design, develop, and deliver comprehensive technical training programs for Epsilon products, applying adult learning principles and systematic instructional design.
• Create engaging learning experiences (presentations, hands-on labs, case studies, etc.) tailored to meet the needs of diverse audiences (clients and employees).
• Develop and produce learning videos to complement training programs.
• Collaborate with subject matter experts to ensure training materials accurately reflect product functionalities.
• Make significant contributions to product documentation by providing clear and concise coverage of product features.
• Validate training environments before conducting sessions.
• Simplify and explain complex technical concepts using demos, presentations, and learning videos.
• Manage multiple concurrent training development projects effectively.
• Manage time, resources, and scope of training projects to ensure successful completion.
• Actively participate in product meetings and collaborate with stakeholders and SMEs.
• Contribute to user communities by actively triaging and resolving user queries related to product knowledge.

You will work on the frontline of communication with project stakeholders, ensuring timelines, targets and standards of clinical research projects in a variety of therapeutic indications.  You will build and maintain relationships with clinical sites and investigators.  You will focus on subjects’ rights, safety and well-being and quality of data compliance.

Office-based in Bangalore, India

You will:

• Conduct and report all types of onsite monitoring visits
• Be involved in study startup
• Perform CRF review, source document verification and query resolution
• Be responsible for site communication and management
• Be a point of contact for in-house support services and vendors
• Communicate with internal project teams regarding study progress
• Participate in feasibility research
• Support regulatory team in preparing documents for study submissions

Essential Duties and Responsibilities
Including, but not limited to the following:
Support the day-to-day data needs of internal clients by:

• Clarifying requests as needed
• Preparing the data
• Performing list matches using a mixture of in house developed tools and MS Excel
• Reporting upon the results

Work directly with internal clients on the above

Competencies

• Attention to detail – must be able to review and flag any errors or inconsistencies in data
• Communication – must be able to effectively communicate across departments and teams – with clients, sales, operations, and programming
• Problem-solving – must be able to resolve issues, brainstorm, and problem-solve across teams

Knowledge, Skill, Ability:

• Advanced Excel – the ability to develop PivotTables/Charts as well as complex formulas
• Candidates must be customer service oriented with a positive, can-do attitude
• Organized, self-motivated, and self-directed
• Strong understanding of data structure and management
• Excellent interpersonal communication skills – both verbal and written
• Exceptional ability to multi-task and balance multiple projects and priorities
• Exceptional time management, organizational skills, attention to detail and ability to multitask
• Excellent attention to detail and commitment to accuracy and integrity of information
• Experience working within a market research company or other type of quantitative research organization desirable, but not required
• Knowledge of SQL would be an advantage in future career progression

ABOUT THIS JOB

We won’t say we can predict the future, but our team of Market Research Analysts gets pretty close. This role combines data analysis and client consultation from the start, with plenty of room for growth. You find the stories behind scatter plots and help clients determine which products to launch. Your insights will influence decisions for some of today’s leading global companies. 
 
RESPONSIBILITIES

• Managing clients and their respective projects custom research team in matters of market research based on experience in one or more sectors (financial services; media, telecom & technology, energy, etc.)  
• Reporting to a project lead, you will be responsible for the successful execution of customized qualitative studies, including project costing, questionnaire design, project management and execution, analysis and report writing.  

 
Client Management  

• Managing clients and their respective projects from beginning to end, including making actionable recommendations to support key business objectives  · Consistently exceeding client expectations from project inception through completion  

 
Project Management  

• Successfully manage multiple projects simultaneously, all in different design/analysis stages
• Proactively anticipating, troubleshooting, overcoming, and/or escalating challenges to your project lead in a timely manner  
• Coordinating project task activities between your project team and internal support/operations team(s)  
• Consulting (Questionnaire Design, Analysis, Reporting & Writing)  
• Assist in the development of strong and captivating proposals to meet client needs, based on short research briefs and/or elaborate RFPs; including assisting with costing structure, methodological design, analytical framework, etc.  
• Designing questionnaires/focus group screeners/interview guides to meet the specific or unique client objectives  
• Synthesis and communication of both primary and secondary research findings into actionable insights according to the client’s objectives  
• Full reporting and analysis (via PowerPoint): Interpreting and analysing multivariate data, drawing insightful conclusions and providing recommendations, where applicable.  
• Provide "in office" research, administrative and operational support to senior staff  
• Be directly accountable for work conducted for their nominated clients in terms of analyses, charting, etc and perform quality checks on all reports for alignment to request, accuracy and correctness.  

 
A LITTLE BIT ABOUT YOU 

• Experience in Automotive / Service / FMCG/Tech
• Experience in Primary Qualitative Market Research with practical knowledge of research methodologies like Focus group discussions, direct interviews and ethnographic research would be preferred.
• Strong Client Focus and Proactiveness
• Strong interpersonal skills
• Very Good Influencing & Persuading Skills
• Has experience of developing and managing client relationships.
• Expert knowledge of research techniques and methodologies 
• Keen observer and takes interest in macro cultural shifts and trends.
• Any published thought leadership paper would be an added advantage.

Responsibilities

• Manage the day-to-day administration of the Workday Learning platform and the Questionmark assessment tool, including the setup and configuration of the system, automated campaigns, user roles, and permissions.
• Manage a content repository outside of the learning management system to ensure source files are saved in a consistent manner.  Collaboarate with all internal training teams on the structure and process.
• Publish training content from vendors such as OpenSesame and instructor-led training, eLearning modules, and other learning resources in Workday Learning.
• Configure Workday Learning for live virtual sessions.
• Create Questionmark assessments and publish in Workday Learning, including instructor-led training, eLearning modules, and other learning resources.
• Monitor the performance of the Workday Learning platform and provide technical support to the L&D team and end-users as needed.
• Ensure that the learning assets and processes comply with industry standards, regulations, and best practices.  Provide suggestions on new processes and use of new features.
• Collaborate with the L&D team to manage training schedules, enrollments, and tracking of employee progress and performance.
• Work with the Biz Apps and HR Ops team to build audiences for training campaigns.
• Work with Biz Apps team to load EIB (Enterprise Interface Builder) forms with historical data into Workday Learning
• Develop and execute test plans for enhancements in the Sandbox environment to ensure that the migration process to production is error-free.
• Work with the L&D team to ensure that the system meets their needs and requirements.
• ·       Ensure that the Workday Learning site is easy to use for learners and managers.  Ensure that the content is easy to find and the site navigation is clear.
• ·       Create best practice standard operating procedures (SOPs) and develop and deliver training sessions to the L&D team on how to use the Workday Learning platform and Questionmark tool effectively.
   

About us:

Swiss Learning Exchange (SLX) is a global sustainability education company. Our vision is to create a world where organizations, governments and individuals embrace sustainability at all levels, by making sustainability accessible, understandable, and actionable for all. Organizations around the world are going through a mindset change. Guided by the UN’s Sustainable Development goals, companies, individuals, and the world at large are moving towards a more sustainable future. However, to reach that future, there is a growing need for more knowledge, skills, and awareness of sustainability.

Job Description:

For this role, the successful candidate will work as a Research Analyst for SLX’s Research Team and its client IMD (International Institute for Management Development, based in Lausanne, Switzerland). The Research Associate will work under the supervision of IMD professor Arnaud Chevallier to help with his research on problem solving, strategic thinking, and decision making.

To apply for the role, send us an email with the subject “SLX-Research Analyst” with your CV and Cover Letter as a PDF file (writing quality will be reviewed) to the email address jobs@slxlearning.com.

Core Responsibility:

• Conduct in-depth literature reviews on various topics around organizational problem solving, strategic thinking, and decision making (e.g., conducting literature review on how decision makers can reduce the negative impact of cognitive biases on their decisions, optimal stakeholder engagement in group decisions, appropriate risk appetite for managers).
• Assemble vignettes and short cases. The professor uses several vignettes in his research and will need help assembling and/or fact-checking them.
• Scout for news stories on particular themes. For the professor’s research themes, he will need help monitoring breaking stories so that they can be integrated into his research publications and other materials.

Skills and expertise required:

• Expertise in problem solving, strategy, or decision making is not required. In fact, the successful candidate will be able to learn in these areas.
• However, the successful candidate will demonstrate outstanding abilities to:
• Appraise the credibility of evidence – which sources are credible, and which are not.
• Use probabilistic thinking to make sense of ambiguous bodies of evidence with strong case in favor and opposing a given viewpoint.
• Synthesize large bodies of evidence to their essence – extracting tangible “so what” out of conflicting information.
• Engage exemplary critical thinking – can see arguments from various perspectives and can synthesize these into tangible ideas for practitioners.

Additional IMD Responsibilities:

• Conduct different types of research—e.g., data gathering, library searches, literature reviews, and field research.
• Write draft cases, teaching notes, and articles—creating original writing grounded on the research performed.
• Provide analysis, editing, and ad-hoc drafts for academic articles, IMD cases and teaching notes.
• Deliver high-quality output, often within tight deadlines, that is in line with Professor Chevallier’s research agenda and IMD’s standards.
• Provide ideas and suggestions that could lead to innovative ways of thinking or new ways of presenting research material.
• Show the ability to (a) exercise independent decision making to enable the timely progression of the projects assigned and (b) work under pressure.
• Build excellent working relationships with internal and external stakeholders.
• Other responsibilities may be assigned.

Qualifications and Skills:

• Bachelor's and master's degrees are both required
• Ideally, the bachelor’s and/or master’s will be in one of the following domains: Business administration – Business management – General management – Strategy – Statistical analysis and data analytics – industrial and organizational psychology.
• Other Degrees – Psychology, Social Science, or any other Science Related Field
• Excellent writing, editing, and communication skills in English
• Strong research and analytics skills
• Strong abilities to use Apple’s main software (Pages, Numbers, Keynote) or, if not possible, Microsoft Office suite
• Ability to work independently and proactively with minimum supervision
• At least basic training in statistical or probabilistic analysis
• Strong project management and organizational skills (as multiple projects will be running concurrently)
• Excellent interpersonal skills
• Previous relevant work experience a plus

insightsoftware is seeking a Learning Coordinator to join our Learning & Development team.  The Learning Coordinator will work with the L&D Team to identify and coordinate training for new and existing employees.

 Responsibilities

• Coordinate start-to-finish of training logistics, managing all activities including training registration, training communication as appropriate, presenter and employee communication, attendance, and reporting through Workday Learning LMS.
• Schedule live training sessions for North America and EMEA and act as a producer to ensure sessions run seamlessly
• Set up and launch polls for live sessions
• Organize, update, and post L&D communication content through SharePoint, our company intranet
• Work with LMS administrator to create program and courses in Workday Learning
• Create feedback surveys associated with courses in Workday Learning
• Create assessments in Questionmark tool and add to courses in Workday Learning
• Assist in curation and maintenance of training curriculum on LMS, Workday Learning
• Assist with other programs including performance management and recognition award coordination
• Manage and report on employee feedback surveys for courses and programs through Workday Learning
• Compile, and organize training data and reports on L&D Reporting Dashboard
• Assist in assignment of external vendor learning licenses and assign to employees upon request
• Organize, and post L&D communication content on SharePoint, our company intranet
• Monitor the learning email inbox, answer inquiries, and escalate if needed
• Answer routine Learning & Development questions for employees
• Update and help support team processes and documentation
• Other duties as needed

Here at Mindera, we are continuously developing a fantastic team, and would love it for you to join us. As a Machine Learning Engineer, you'll work closely with data scientists, software engineers, and domain experts to design, implement, and deploy machine learning models and systems that solve real-world problems. This is a great opportunity for someone with a strong background in machine learning who is passionate about developing innovative solutions and driving business impact.

You're Good At

• Machine learning techniques and algorithms (e.g., supervised learning,
  unsupervised learning, reinforcement learning)
• Programming languages like Python, and proficiency with machine learning libraries (e.g., TensorFlow, PyTorch)
• Strong skills in data preprocessing, feature engineering, and data pipeline development
• Model evaluation and performance tuning
• Experience with deploying machine learning models in production
  environments
• Hands-on experience with cloud-based machine learning platforms (e.g., AWS SageMaker, Google AI Platform)
• Version control systems such as Git and Exposure to containerization tools (e.g., Kubernetes, Docker)

You Rock At

• Applying best practices and methodologies in machine learning engineering
• Strategic thinking and the ability to align machine learning initiatives with business goals
• Working in cross-functional teams and collaborating with different stakeholders
• Maintaining up-to-date knowledge of the latest trends and advancements in machine learning
• Strong decision-making skills in selecting the right machine learning solutions for specific problem
• Communicating complex concepts and results to both technical and non-technical audiences

What you will be doing

• Designing, implementing, and deploying machine learning models and systems
• Collaborating with data scientists, software engineers, and domain experts to understand business needs and define requirements
• Conducting experiments and analyses to evaluate and improve model performance
• Developing scalable and efficient solutions for data processing and model serving
• Monitoring and maintaining deployed machine learning systems
• Keeping up-to-date with the latest advancements in machine learning and contributing to the team's knowledge sharing

We offer

• Flexible working hours (self-managed)
• Competitive salary
• Annual bonus, subject to company performance
• Access to Udemy online training and opportunities to learn and grow within the role

At Mindera we use technology to build products we are proud of, with people we love. Software Engineering Applications, including Web and Mobile, are at the core of what we do at Mindera. We partner with our clients, to understand their product and deliver high performance, resilient and scalable software systems that create an impact on their users and businesses across the world.

You get to work with a bunch of great people, where the whole team owns the project together. Our culture reflects our lean and self-organisation attitude. We encourage our colleagues to take risks, make decisions, work in a collaborative way and talk to everyone to enhance communication. We are proud of our work and we love to learn all and everything while navigating through an Agile, Lean and collaborative environment.

Check out our Blog: http://mindera.com/ and our Handbook: http://bit.ly/MinderaHandbook

Our offices are located: Porto, Portugal | Aveiro, Portugal | Coimbra, Portugal | Leicester, UK | San Diego, USA | Chennai, India | Bengaluru, India

About BU

Digital wizards and experience creators, our DX team crafts compelling customer journeys across the web. They bring Epsilon teams and technologies together to create immersive experiences that help brands stand out. By leveraging the power of our platforms, cutting-edge digital and marketing cloud tools, the team drives greater engagement for our global clients. Fueled by provocative and new thinking, this talented group of individuals reimagine digital experiences, one customer at a time.

Why we are looking for you.

This position in the Engineering team under the Digital Experience organization. We drive the first mile of the customer experience through personalization of offers and content. We are currently on the lookout for a smart, highly driven software engineer.

What you will enjoy in this role

You will be part of a team that is focused on building solutions, pipelines using latest software engineering design principles and tech stacks. You will also be expected to Identify, design, and implement improvements including re-designing infrastructure for greater scalability, optimizing data delivery and automate continuous integration and deployment processes/pipelines.

The incumbent is also expected to partner with various stakeholders, bring scientific rigor to design and develop high quality software.

She / He also must have excellent verbal and written communication skills and be comfortable working in an entrepreneurial, ‘startup’ environment within a larger company.

What you will do

• Develop solutions for Epsilon that will deliver high quality personalized recommendations across different channels to our customers
• Working with wider team to ensure seamless integration and support of machine learning models.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Develop end-to-end (Data/Dev/MLOps) pipelines based on in-depth understanding of cloud platforms, AI/ML lifecycle, and business problems to ensure solutions are delivered efficiently and sustainably.
• Collaborate with other members of the team to ensure high quality deliverables
• Learning and implementing the latest design patterns in software engineering
• Mentor junior associates in the team.
• Working across multiple projects to ensure effective and quality deployment of models
• Work with multiple senior stakeholders to understand project requirements from a business POV and translate them into technical requirements.
• Collaborate with Project Managers to plan and deliver the project on time
• Developing the design / architecture for the product / projects
• Last but not the least, communicating the results, finding / technical design with the client

We're looking for a Trading Operations Analyst to join our operations team. We are targeting highly motivated professionals seeking an opportunity to develop and grow their career with a fast-growing, innovative, multi-asset algorithm firm.  This candidate should be equally proficient working in a team environment or as an individual contributor and goal driven with team success as a priority. They are eager to learn, work with a sense of urgency, multi-tasking, willing to work extended hours and flexible to change. Individuals must be extremely thorough, detail-oriented, organized, able to learn quickly and handle volume under pressure.

This role would take on the client service and administration support functions, which include, trade processing, resolution of customers' discrepancies, and ad hoc inquiries and investigations supporting the settlements process to support our customers settlement processes.

Responsibilities:

• Primarily responsible for the completion of daily trade processing tasks, working in a fast-paced environment investigating, and resolving issues to ensure account opening, trade allocation, confirmation processing and settlement occurs in line with the current settlement timelines (T+2).
• Respond to client and broker inquiries (email, phone) as a single point of contact to ensure timely settlement processing, including investigating & resolving of trade-related breaks in accordance with our established time frames and procedures.
• Review/Confirm client settlement account instructions are current and accurate via DTCC ALERT. 

• Building and maintaining excellent relationships at the operational middle / back-office level with our clearing counterparties to further our ability to provide Straight Through Processing (STP).  
• Pro-actively contribute to projects and initiatives, develop, and explore methods to further streamline our internal processes to achieve greater automation within our support processes where available.
• Other duties as assigned by management to meet the needs of the current business environment.
  

Required qualifications, Capabilities, and Skills:

• Bachelor’s degree in finance, mathematics, computer science, or related field.
• 2+ years of Operations experience would be ideal, but other backgrounds withing the Financial Services Industry could be suitable. 
• Excellent written and oral presentation skills; comfortable interfacing and supporting internal teams as well as front-office and middle office external counterparties located in various locations.
• Must be organized, critical thinking, detail oriented, self-motivated and deadline oriented.
• Proficient in Microsoft office suite: Excel
• Comfortable with working during AMER and EMEA time zones.

• Competitive salary and performance-based bonuses.
• Comprehensive benefits package, including health insurance plans.
• Opportunities for career growth and advancement.
• A collaborative and innovative work environment.
• Ongoing training and professional development opportunities.

1. Pre- training, On-day, Post- training co-ordination activities

2. Processing JKL requests, checking the details of claims, approve for re-imbursement

3. Communication with associates and handling clarifications through email

4. Align with stake holders to clarify any issues related to re-imbursement

5. Support HRS3-IN associates to provide input on status of JKL requests

6. Provide input to MSR, KPI with respect to training services under the relevant portfolio

7. Co ordinate to arrange training material for relevant trainings

8. Support during invoice processing of training cost recovery from the divisions

9. Participate in stakeholders meetings and close loop open points

10. Consolidation of re-reimbursement data and publish to stakeholders on a daily basis

About BU

Digital wizards and experience creators, our DX team crafts compelling customer journeys across the web. They bring Epsilon teams and technologies together to create immersive experiences that help brands stand out. By leveraging the power of our platforms, cutting-edge digital and marketing cloud tools, the team drives greater engagement for our global clients. Fueled by provocative and new thinking, this talented group of individuals reimagine digital experiences, one customer at a time.

Why we are looking for you.

This position in the Engineering team under the Digital Integration organization. We drive the first mile of the customer experience through personalization of offers and content. We are currently on the lookout for a smart, highly driven software engineer.

What you will enjoy in this role

You will be part of a team that is focused on building solutions, pipelines using latest software engineering design principles and tech stacks. You will also be expected to Identify, design, and implement improvements including re-designing infrastructure for greater scalability, optimizing data delivery and automate continuous integration and deployment processes/pipelines.

The incumbent is also expected to partner with various stakeholders, bring scientific rigor to design and develop high quality software.

She / He also must have excellent verbal and written communication skills and be comfortable working in an entrepreneurial, ‘startup’ environment within a larger company.

What you will do

• Develop solutions for Epsilon that will deliver high quality personalized recommendations across different channels to our customers to drive positive ROI for clients’ business
• Working with wider team to ensure seamless integration and support of machine learning models.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Develop end-to-end (Data/Dev/MLOps) pipelines based on in-depth understanding of cloud platforms, AI/ML lifecycle, and business problems to ensure solutions are delivered efficiently and sustainably.
• Collaborate with other members of the team to ensure high quality deliverables
• Learning and implementing the latest design patterns in software engineering

Job Title: Staff Machine Learning Engineer

Locations: Bangalore

Reports to: Director, Machine Learning

A quick snapshot…

A Machine Learning Engineer at Conga will produce a tailor-made solution for each problem. The only way to achieve optimal results is to carefully process the data and select the best algorithm for the given context. You’ll participate in building, designing, and optimizing Artificial Intelligence (AI) systems.

Why it’s a big deal…

The Machine Learning Engineer will play a vital role in the technology stack and will keep the system updated. The key role at Conga, would be to incorporate the customer’s legal contracts, and accomplishments of records by means of implementing, evaluating, and deploying strong commercial solutions. Your judgement to determine appropriate courses of action, within defined practices and procedures will be vital.

Are you the person we’re looking for?  

Related experience. At least 8+ years of experience in commercial text-based machine learning. Ability to understand complex problems, decompose them into a set of testable hypotheses, implement bug-free experiments, analyze the results, and produce insights, solutions, and next steps from the analysis. Your models are then used to automate processes like image classification, speech recognition, and market forecasting.

Algorithm and Data Visualization. You will work independently and collaborate in small teams. You will be excited to write great code, get close to the data, and create great ML models. You would be analyzing the ML algorithms that could be used to solve a given problem and ranking them by their probability of success. Exploring and visualizing data to understand it, then identifying differences in data distribution that could affect performance when deploying the model in the real world.

Skills & Experience. Proficiency with Python and basic libraries for machine learning:

• Python 3.x, jupyter notebook, regular expressions.
• Frameworks: PyTorch, spaCy, Kera’s Deep
• Architectures: LSTM, CNN.
• Other tool’s: My SQL, SQL queries, ubuntu, GitHub, AWS S3 and EC2, boto. 
•  

Education: A bachelor’s degree in Engineering or equivalent

Here’s what will give you an edge…

Innovative Thinking. At Conga we are working on latest technologies, along with the rules of how we use data to target. You should want to take initiative to research new tactics and find new ways to improve campaign effectiveness.    

Developing professional. As a developing professional your expertise will be visible to all levels. You regularly rely on policies and procedures to resolve a variety of issues. You’ve worked on problems that required you to review a variety of factors to analyze a situation. You’ve built productive internal and external working relationships.

Did we pique your interest? 

  If this sounds like the kind of job you would love in the kind of environment where you would thrive, please click apply. We'd love to hear from you! 

  Don’t meet every requirement for the role?  

  Studies have shown that women and members of ethnic minorities are less likely to apply to jobs unless they meet every single qualification. At Conga we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You just might be the right candidate for this or other roles.

About BestEx Research

BestEx Research is a financial technology and research firm specializing in building sophisticated execution algorithms and transaction cost modeling tools servicing multiple asset classes. The firm provides its services to performance-demanding hedge funds, CTAs, asset managers, and banks through a traditional electronic broker and in a broker-neutral Software as a Service (SaaS) model.

Its cloud-based platform, Algo Management System (AMS), is the first end-to-end algorithmic trading solution for equities, futures, and foreign exchange that delivers an entire ecosystem around execution algorithms, including transaction cost analysis (TCA), an algo customization tool called Strategy Studio, a trading dashboard, and pre-trade analytics in a single platform. The platform is currently live for US equity and global futures trading.

As a Junior Full Stack Engineer, you will play a vital role in shaping the user interface and user experience of our products. We are seeking a candidate with a strong foundation in React and Node JS, providing an excellent opportunity for professional growth and learning.

Key Responsibilities:

• Technical Learning and Collaboration:

1. As part of a fast moving development team,you will collaborate with UX designers and product managers to develop designs into functional and responsive user interfaces.

• React and Node JS Proficiency:

1. Contribute to the development of web applications using React and Node JS frameworks.
2. Gain hands-on experience in architecting, designing, and implementing features with these technologies.

• Code Quality and Performance:

1. Learn and adhere to best practices, coding standards, and modern UI development techniques.
2. Contribute to maintaining code quality, performance, and scalability through participation in code reviews.

Qualifications:

1. Bachelor's or Master's degree in Computer Science or a related field.
2. Solid understanding of front-end development principles.
3. Basic proficiency in React and Node JS, or a strong willingness to learn and apply these technologies.
4. Eagerness to collaborate with cross-functional teams and contribute to a positive team environment.
5. Passion for problem-solving and a keen interest in crafting exceptional user interfaces.

1. Competitive salary and performance-based bonuses.
2. Comprehensive benefits package, including health insurance plans.
3. Opportunities for career growth and advancement.
4. A collaborative and innovative work environment.
5. Ongoing training and professional development opportunities.