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
2 Openings Internship
Risk / Data Analytics - Intern
Shift - Fixed, Day Shift
Location - Remote
As an intern, you will help us with delivering risk and/or analytic solutions in the financial services industry. Performing analysis
As an intern, you will help us with delivering risk and/or analytic solutions in the financial services industry. Performing analysis, developing strategies and crafting presentations that help articulate strategy for the leadership team and Collecting data, analysing, and identifying key differentiating indicators for segmentation and for driving effective risk mitigation and/or marketing strategies.
- Delivering risk and/or analytic solutions in the financial services industry.
- Working with stakeholders across product management, data science, and engineering and driving implementation of risk and data analytic strategies.
- Managing challenging time constraints and ensuring on-time delivery of projects.
- Developing and generating management reports for portfolio monitoring.
- Collecting data, analysing, and identifying key differentiating indicators for segmentation and for driving effective risk mitigation and/or marketing strategies.
- Working closely with partner teams in identifying, evaluating, and recommending new data that helps in overall risk and marketing strategies.
- Analyzing portfolio trends and simulating risk and marketing strategies.
- Working closely with data science team on model building and deployment.
- Building scorecards that leverage both internal performance data and external performance data.
- Performing analysis, developing strategies and crafting presentations that help articulate strategy for the leadership team.
- A quantitative background in engineering, statistics, math or economics or related disciplines.
- Knowledge of database query language (e.g. SQL) and developer tools such as Python, R, databricks in a finance or analytics field.
- Prior model building experience is a plus but not critical.
- An analytical mindset and strong problem-solving skills, attention to detail and ability to multitask.
- The ability to work in a fast-paced environment and to deal with ambiguity.
- Strong communication, interpersonal and presentation skills; ability to engage and collaborate with multiple stakeholders across teams.
Operations
4 Openings Full-Time
Analyst / Sr Analyst - Financial Spreading
Shift - Fixed, Day Shift
Location - Pune
We are seeking a detail-oriented professional to join our team, supporting credit risk management for a US corporate travel management.
We are seeking a detail-oriented professional to join our team, supporting credit risk management for a US corporate travel management. This role involves analyzing and spreading financial statements, ensuring data accuracy, and leveraging automation tools to enhance operational efficiency. The ideal candidate should have strong understanding of financial analysis, business analytics, and forecasting, with the ability to work with financial statements in multiple languages, including French and Spanish.
- Review and interpret financial statements, including balance sheets, profit & loss statements, cashflow statements, tax filings, and bank statements for entities across the US, Canada, and Europe.
- Utilize automation tools to manage financial data, process case files, and handle workflows in Excel or internal portals.
- Conduct external research to verify entity authenticity and assess financial health.
- Maintain and update trackers, reports, MIS, and templates to ensure operational efficiency.
- Collaborate with internal teams (Technology, Management) and clients to ensure smooth operations and data integrity.
- Adapt to multiple processes and step in where needed to support business requirements.
- Bachelor’s degree (B.Com, BA, B.Sc) required; MBA/M.Com with finance knowledge preferred.
- 0 to 3 years of relevant experience.
- Strong understanding of financial statements and ability to assess an entity’s financial health from a credit risk perspective.
- Proficiency in MS Office (Excel, Word, PowerPoint) and ability to work with data, extract insights, and handle unstructured environments.
- Excellent written and verbal communication skills with the ability to create presentations for executive audiences.
- Should be open for flexible / rotational working hours.
Analytics and Data Science
1 Opening Full-Time
Risk Analytics - Assistant Manager / Manager
Shift - Fixed, Day Shift
Location - Remote
Lead a dynamic team to deliver high impact risk analytics and data science related solutions across credit risk (underwriting, exposure controls and line management)
Lead a dynamic team to deliver high impact risk analytics and data science related solutions across credit risk (underwriting, exposure controls and line management)
- Leading a dynamic team to deliver high impact risk solutions across credit risk (underwriting, exposure controls and line management).
- Work with stakeholders across product management, data science, and engineering to build relationship with the partner teams and drive implementation of risk strategies.
- Manage challenging time constraints to ensure on-time delivery of projects.
- Work closely with partner teams in identifying, evaluating, and recommending new data that helps in risk differentiation.
- Analyse loss trends and simulate risk decisioning strategies that help optimize revenue, approval rates etc.
- Work closely with data science team and recommends credit risk decisioning and model deployment strategy.
- Build a risk scorecard that leverages both internal performance data and external performance data that will be leveraged for credit decisioning at both underwriting and account management reviews for existing customers.
- Collates analysis and builds presentations that helps articulate the risk strategy for the leadership team.
- Quantitative background in engineering, statistics, math, economics, business, or related disciplines.
- 4+ years’ experience in analysing data and using database query language (e.g. SQL) analysis and programming and developer tools such as Python, R , databricks in a finance or analytics field.
- 1+ years of experience in leading high performing team of analysts.
- Experience in working with non-traditional data such as social media will be a big plus.
- Prior model building experience is a plus but not critical.
- Possesses analytical mindset and strong problem-solving skills. Attention to detail and ability to multitask.
- Comfortable working in a fast-paced environment and dealing with ambiguity.
- Possesses strong communication, interpersonal and presentation skills; and ability to engage and collaborate with multiple stakeholders across teams.
- Extremely proactive communicator willing to raise flags when needed and keep team members informed of ongoing risk or fraud related activities.
Analytics and Data Science
1 Opening Full-Time
Analyst/ Sr. Analyst Data Scientist (Risk Strategy)
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.