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
Business Intelligence Analyst
Shift - Fixed, Day Shift
Location - Remote
Support the team requirements of creating risk reporting for business and risk teams.
Support the team requirements of creating risk reporting for business and risk teams.
- Develop foundational skills in understanding the fundamentals of Wex, its products and portfolios.
- Deepen understanding of data infrastructure and analytical tools to conduct risk analysis.
- Partner with the WEX analytical community to ensure data availability to meet use cases and reporting requirements.
- Collaborate with the commercial engagement team, LOBs and risk functions to identify KPI/KRIs.
- Leverage SQL and Python to query existing data and run analysis on WEX data and models.
- Develop dashboard and packaged reporting for delivery to key stakeholders.
- Monitor KPI/KRI universe and set standards for reporting.
- Pair reporting with business activities to provide context and meaning in order to drive actionable outcomes.
- Ability to work with Senior Analysts to support constant reporting requirements for regulators and other internal stakeholders.
- Prepare reporting for management with strategic recommendations and action plans that have been created in collaboration with LOB and risk stakeholders.
- Automation of reporting using Tableau and other tools.
- BA/BS degree or equivalent experience.
- 2+ years analytics experience (business intelligence, data visualization, portfolio analytics etc.) with proven track record of using quantitative analysis to impact key business or product decisions.
- Working knowledge of data visualization tools such as Tableau.
Operations
Quality Analyst
Shift - Fixed, Day Shift
Location - Pune
We are looking for a Quality Analyst with a minimum of 3 years' experience in performing transactional audits, preferably in a telecom collections environment. The ideal candidate will possess strong analytical and critical thinking skills, excellent communication abilities, and a solid work ethic.
We are looking for a Quality Analyst with a minimum of 3 years' experience in performing transactional audits, preferably in a telecom collections environment. The ideal candidate will possess strong analytical and critical thinking skills, excellent communication abilities, and a solid work ethic.
- Conduct comprehensive audits of transactions performed by the operations team to ensure compliance with established procedures and quality standards.
- Identify areas of improvement and provide actionable feedback to enhance the efficiency and effectiveness of operations.
- Develop and maintain audit reports, highlighting key findings, trends, and recommendations.
- Collaborate with operations leaders and management to implement corrective actions and process improvements.
- Monitor and evaluate the performance of the operations team to ensure continuous quality enhancement.
- Stay updated with industry best practices and regulatory requirements related to telecom collections.
- Participate in training sessions to educate the operations team on quality standards and best practices.
- Bachelor's degree.
- A minimum of 3 years of relevant experience in quality analysis and transactional audits.
- Strong analytical and critical thinking skills with the ability to interpret data and identify trends.
- Excellent communication skills, both verbal and written.
- Exceptional attention to detail and commitment to maintaining high-quality standards.
- Ability to work independently as well as part of a team.
- Proficiency in using audit tools and software.
- Strong work ethic and a proactive approach to problem-solving.
- Competitive salary and benefits package.
- Opportunity to work with a dynamic and growing team.
- Continuous learning and professional development opportunities.
- A supportive and collaborative work environment.
Analytics and Data Science
Data Science - Credit Risk
Shift - Fixed, Day Shift
Location - Remote
We are looking for analytically strong professionals with deep expertise in credit card analytics, portfolio management, and risk strategy—particularly those who have worked on LTV (Lifetime Value) and Risk-Reward trade-off modelling.
We are looking for analytically strong professionals with deep expertise in credit card analytics, portfolio management, and risk strategy—particularly those who have worked on LTV (Lifetime Value) and Risk-Reward trade-off modelling. The ideal candidate brings experience working with U.S. credit card portfolios and can connect data-driven insights to business profitability and portfolio health.
- Develop, validate, and enhance LTV models, credit risk models, and portfolio profitability frameworks.
- Work on Risk-Reward trade-off modelling to optimize acquisition and portfolio strategies—balancing growth and default risk.
- Extract and explore data, validate data integrity, perform ad hoc analysis, evaluate new data sources for usage in strategy development.
- Lead portfolio analytics initiatives to track and improve credit performance.
- Partner with risk, product, and marketing teams to design data-driven credit policies, limit strategies, and customer lifecycle interventions.
- Conduct profitability segmentation to identify high-value and high-risk customer cohorts.
- Support pricing and credit limit optimization using predictive modelling and scenario simulations.
- Analyse large-scale datasets (internal + bureau data) to extract actionable insights for portfolio health monitoring.
- 2 years + of experience in credit card, consumer lending, or portfolio risk space.
- Proven experience in LTV modelling, risk-reward trade-off, and portfolio profitability optimization.
- Hands-on proficiency in Python or R for statistical modelling and SQL for data extraction/manipulation.
- Expertise in predictive modelling (logistic regression, decision trees, gradient boosting, survival analysis).
- Experience with credit bureau data, scorecards, and portfolio forecasting techniques and familiarity with U.S. credit systems.
- Ability to communicate findings clearly to both technical and business audiences.
- Degree from a top-tier institution; Particularly in a quantitative field (e.g., computer science, data science, engineering, economics, mathematics, etc.). Advanced degree preferred.
- Work on end-to-end credit portfolio analytics driving real financial outcomes.
- Exposure to U.S. credit card portfolios and data-driven risk strategy.
- Collaborate with cross-functional teams across risk, marketing, and product to shape growth and profitability.
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.