Explore Jobs and Careers
Welcome to bluCognition – where innovation meets expertise in data and risk management. At bluCognition, we believe in harnessing the power of data to navigate the complexities of risk, empowering our clients to make informed decisions that drive their success. bluCognition is an equal opportunity employer and celebrates diversity to ensure an inclusive environment for all employees. We are a dynamic and forward-thinking team and always on the lookout for talented individuals to join us on this exciting journey. Trust us to find the right opportunity for you.
Open Positions
Analytics and Data Science
1 Opening Full-Time
Analyst/ Sr. Analyst Data Scientist
Shift - Fixed, Day Shift
Location - Remote
As Data Scientist, you will leverage your creative and critical thinking skills to developbest-in-class modelsthat have a meaningful impact on the Zip team.
As Data Scientist, you will leverage your creative and critical thinking skills to developbest-in-class modelsthat have a meaningful impact on the Zip team. These models willsupport our credit and fraud risk, customer experience, marketing and beyond.
Having you aboard will enable usto have moremodelsreleased to production, quickeriteration,and broader coverage of addressing business problemsthrough scientificmethods. Core KPIs for this position correspond to extra revenue generated/costs saved from releases. The role isalso meantto support compliance, documentation, and knowledge sharing in regardstomodel governance & review.
- Develop, validate and deploy ML models, optimization solutions, inference techniques to solve complex problems and communicate ideas to internal stakeholders.
- Extract and explore data, validate data integrity, perform ad hoc analysis, evaluatenew data sources to improve models.
- Maintain robust documentation of approach and techniques used; including objectives, assumptions, performance, weaknesses, and limitations.
- Be ready to adapt to new tools/libraries/technologies/platforms.
- Actively partner with engineersto validate&deploy scalable solutions.
- Collaborate to gatherinsight from partners acrossthe organization.
- Further develop expertise in data science and engineering through self-study,project exposure and guidance of senior team members.
- Degree in a quantitative field (e.g., computerscience, data science, engineering, economics, mathematics, etc.). Advanced degree preferred.
- 3+ years of Data Science experience.
- 2+ yearsin financialservices.
- Deep knowledge of Machine Learning Modeling.
- Experience building and implementing modelsin production is preferred.
- Proficient with Python.
- Proficient with SQL.
- Practical experience using Spark is a plus.
- Understanding Deep Learning methodsis a plus.
- Technical understanding of algorithm complexity, probability& statistics.
- Self-driven with an aptitude for independent research & problem-solving.
- Ability to multi-task in a fast-paced environment is essential.
- Experience with Git.
Operations
1 Opening Full-Time
Analyst/ Sr. Analyst Credit Abuse Operations
Shift - Fixed, Day Shift
Location - Pune
Analyst / Sr. Analyst in the Credit Abuse Operations’ process for a premier US-based Telecom client, renowned as an industry leader and one of the most esteemed companies in the telecommunications sector.
Analyst / Sr. Analyst in the Credit Abuse Operations’ process for a premier US-based Telecom client, renowned as an industry leader and one of the most esteemed companies in the telecommunications sector.
You will be responsible for manually reviewing credit abuse /fraud suspect cases, leveraging external research and expertise of lending, credit, fraud and credit abuse policies. You will also play a critical role in identifying and investigating potential instances of fraud, assessing risk, and implementing strategies to mitigate fraudulent activities.
- Conduct thorough manual reviews of credit abuse / fraud suspect cases to identify suspicious activities and potential fraud indicators.
- Utilize MS Excel proficiency to analyze large datasets and extract meaningful insights related to lending, credit, and financial transactions.
- Collaborate with cross-functional teams including risk management, credit, fraud, compliance, and legal departments to investigate and resolve fraud cases efficiently and effectively.
- Stay abreast of industry trends, regulations, and best practices related to fraud detection and prevention in lending and financial services.
- Develop and maintain comprehensive documentation of fraud cases, investigation findings, and resolution actions taken.
- Assist in the development and implementation of fraud prevention strategies, policies, and procedures.
- Bachelor's degree in any field.
- Minimum of 2 years of experience in a similar role within the financial services industry, with a focus on credit abuse / fraud detection and prevention.
- Experience working with Credit Abuse/ Fraud role in a US-based company is strongly preferred.
- Demonstrated expertise in manual credit abuse / fraud review processes and data analysis techniques.
- Strong understanding of lending principles, loan products, credit risk management, and financial transactions.
- Excellent analytical skills with the ability to interpret financial data and identify patterns or anomalies indicative of fraudulent activities.
- Effective communication skills with the ability to articulate findings and recommendations to diverse stakeholders.
- Detail-oriented, organized, and able to manage multiple priorities in a fast-paced environment.
- Team player with a collaborative mindset and a commitment to upholding ethical standards and confidentiality.
- Thorough understanding of the functions and diverse features of MS Office applications such as Excel, Word, PPT etc. with strong emphasis on generating management information system (MIS) reports and dashboards using advanced Excel features.
Technology
3 Openings Full-Time
Analyst/ Sr. Analyst Data Scientist Automation
Shift - Flexible, Day/ Night Shift
Location - Remote
You will help us with Document conversion, Data Extraction & Image processing.
You will help us with Document conversion, Data Extraction & Image processing.
- Document conversion, Data Extraction & Image Processing.
- Develop & maintain the code base for document extraction.
- Work closely with product & operations teams to maintain, troubleshoot & keep updating the document extraction product.
- Automate new bank statement documents across multiple markets.
- Should be open to work for morning or night shifts as per requirements.
- 4-5 years of Hands-on experience with JavaScript, Python, jQuery, MySQL, APIs, PHP.
- Excellent knowledge of Python & Regular Expressions.
- Excellent knowledge of libraries on PDF data extraction in Python.
- Good knowledge of document conversion/extraction, OCR.
- Good knowledge of codebase shares like Gitlab, bitbucket, and CI/CD process.
- Must be comfortable with Linux/windows-based Operating systems.
- Good to have knowledge about JavaScript/PHP.
- Ability to work with minimum guidance with new innovative solutions.
- High sense of ownership.
- Good Team Player and offers flexibility in terms of work hours.
- Good communication skills.
- Quick Learner and shows adaptiveness to highly challenging technical environment.
- UG: B. Tech /B.E. in computers.
Analytics and Data Science
1 Opening Full-Time
Analyst/ Sr. Analyst Data Scientist
Shift - Fixed, Day Shift
Location - Remote
As Data Scientist in the credit risk strategy team, you will leverage your creative and critical thinking skills to develop best-in-class risk management strategies that have a meaningful impact on the client’s business.
As Data Scientist in the credit risk strategy team, you will leverage your creative and critical thinking skills to develop best-in-class risk management strategies that have a meaningful impact on the client’s business. These strategies will support the client’s credit and fraud risk, customer experience, marketing verticals and beyond.
Having you aboard will enable us to stay aligned with market trends by improving the turnaround time for developing and implementing risk strategies, allowing for quicker iterations and broader coverage in addressing business challenges through scientific methods. The core KPIs for this position include additional revenue generated and costs saved from releases. This role also supports compliance, documentation, and knowledge sharing in risk strategies.
- Develop, validate and deploy risk management strategies using a combination of sophisticated data analytics and domain expertise.
- Extract and explore data, validate data integrity, perform ad hoc analysis, evaluate new data sources for usage in strategy development.
- Maintain robust documentation of approach and techniques used; including objectives, assumptions, performance, weaknesses, and limitations.
- Be ready to adapt to new tools/libraries/technologies/platforms.
- Actively partner with engineers to validate & deploy scalable solutions.
- Collaborate to gather insight from partners across the organization.
- Further develop expertise in data science and engineering through self-study, project exposure and guidance of senior team members
- Degree in a quantitative field (e.g., computer science, data science, engineering, economics, mathematics, etc.). Advanced degree preferred.
- 3+ years of Data Science experience.
- 2+ years in financial services.
- Experience building and implementing risk strategies in production.
- Deep understanding of segmentation techniques such as decision trees.
- Experience in banking sector with exposure to risk management analytics.
- Proficient with Python.
- Proficient with SQL.
- Practical experience using Spark is a plus.
- Understanding of statistical modeling techniques is a plus.
- Technical understanding of algorithm complexity, probability & statistics.
- Self-driven with an aptitude for independent research & problem-solving.
- Ability to multi-task in a fast-paced environment is essential.
Diversity, Equity and Inclusion at bluCognition
At bluCognition, Diversity, Equity, and Inclusion (DE &I) are not just buzzwords – they are fundamental principles that shape our identity, drive innovation and contribute to the success and well-being of our entire workforce. We are committed to cultivating a robust culture of DE&I that permeates every aspect of our operations. We recognize that embracing diversity goes beyond mere representation; it is about creating an environment where every individual feels valued, included, and empowered to contribute their unique perspectives.