Senior Data Scientist - BFSI Domain
First seen by Alion on Nov 13, 2026.
About Ganit :
Founded by senior industry experts, Ganit is the fastest-growing data science company in Chennai with offices in Bengaluru, Mumbai & New Jersey.
Ganit has flipped the data science value chain. We don't start with a technique. For us, consumption comes first. With this philosophy we have successfully scaled from being a small start-up to 200 resource company with clients in the US, Singapore, Africa, UAE, and India.
We are helping Fortune 500 companies across the globe to maximize their Decision-Making Power (#DMP). We are looking for experienced data enthusiasts who can make data talk to them.
What we are looking for :
- Minimum of 6 years of experience in designing and delivery of data science solutions.
- Successful projects in BFSI domain preferably.
- Deep understanding of various statistical techniques, mathematical models, and algorithms.
- Ability to choose the right model for the data and translate that into a code using R, Python, VBA, SQL, etc.
- Bachelors/Masters degree in Engineering/Technology or MBA from Tier-1 B School or MSc. in Statistics or Mathematics.
BFSI Domain Expertise :
- Strong understanding of Credit Risk Modelling and Risk Analytics.
- Experience working on PD, LGD, and EAD models.
- Knowledge of scorecard development, credit scoring, and risk segmentation.
- Experience with loan propensity modelling, default prediction, and portfolio risk assessment.
- Familiarity with bureau data, banking data, lending products, and financial datasets.
- Understanding of model governance, model validation, and regulatory requirements in financial services.
What you will be doing :
- Understand business problems and translate business requirements into technical requirements.
- Conduct complex data analysis to ensure data quality & reliability i.e., make the data talk by extracting, preparing, and transforming it.
- Identify, develop and implement statistical techniques and algorithms to address business challenges and add value to the organization.
- Gather requirements and communicate findings in the form of a meaningful story with the stakeholders.
- Build & implement data models using predictive modelling techniques. Interact with clients and provide support for queries and delivery adoption.
- Lead and mentor data analysts.
Skills
Data Science, Data Scientist, Credit Risk Modeling, Data Risk Management, Analytics, R, Python, Statistical Analyst, Data Quality