Data Scientist – Credit Risk & ML - 3+ Years - N/P/B/G
| Functional Practices: | Big Data Technologies |
| Job type: | Permanent |
| Contact name: | Simran Bhatia |
| Contact email: | simran.bhatia@crescendogroup.in |
| Job ref: | 96388 |
| Published: | about 4 hours ago |
Data Scientist – Credit Risk & ML - 3+ Years - Noida / Pune / Bangalore / Gurgaon
Summary – We are looking for a Data Scientist with strong expertise in Credit Risk Analytics and Machine Learning to build, validate, and deploy risk models that support lending, underwriting, and portfolio management decisions.
Your Future Employer – Our client is a leading analytics and consulting organization delivering data-driven solutions across risk management, advanced analytics, AI, and digital transformation for global BFSI clients.
Responsibilities
Relevant experience as per band (B1 / B2 / C1 / C2) in Credit Risk Analytics
Build, develop, and validate credit risk models (PD, LGD, EAD, scorecards)
Strong hands-on experience with Machine Learning techniques
Advanced proficiency in Python and SQL
Experience in model development, monitoring, and validation
Work on portfolio risk analysis, stress testing, and reporting
Collaborate with business and risk stakeholders for model deployment
Ensure compliance with regulatory and governance standards
Strong analytical, problem-solving, and communication skills
What is in for you-
Opportunity to work on high-impact credit risk models
Exposure to global BFSI clients and complex datasets
Continuous learning and career growth in advanced analytics
Inclusive work culture with equal employment opportunities
Reach us: If you think this role is aligned with your career, kindly write me an email along with your updated CV on Simran.bhatia@crescendogroup.in for a confidential discussion on the role.
Disclaimer: Crescendo Global is specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging memorable job search and leadership hiring experience. Crescendo Global does not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status or disability status.
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Keywords –Data Scientist, Credit Risk, Machine Learning, PD LGD EAD, Scorecards, Risk Modeling, Python, SQL, BFSI, Analytics.
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