Senior Consultant (Junagadh)

Job Role: Senior Consultant
- Credit Risk Strategy Location: Bengaluru, Hyderabad, Gurugram, Mumbai Years of Experience: 3 to 7 Years Work Mode: Hybrid Primary Skills: Credit Risk Strategy, SQL, Python (Numpy/Panda).

About Straive: Straive is a trusted leader in building and operationalizing enterprise data and AI solutions for top global brands and corporations. Our key differentiators include extensive domain expertise across multiple industry verticals, coupled with cutting-edge data analytics and AI capabilities that have consistently driven measurable ROI for our clients. With a global footprint spanning 30+ countries, Straive serves hundreds of clients, supported by a team of 18,000+ seasoned professionals in data, analytics, AI, and operations. Our offices are strategically located across India, the Philippines, the USA, Nicaragua, Vietnam, the UK, Canada, and Singapore, where our headquarters are based.

Company website
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Job Summary: We are looking for an experienced Credit Risk Strategy professional with 3+ years of experience in designing and optimizing underwriting strategies using bureau and third‑party data . The ideal candidate will have hands-on experience in credit decisioning , portfolio performance analysis , and first-party fraud risk management. Should also have valuable SQL and basic python experience.

Key Responsibilities: Underwriting Strategy & Credit Risk
- Design, implement, and optimize credit underwriting strategies across the customer lifecycle (originations, line management, renewals, etc.) using bureau and third‑party data.
- Develop and refine credit decision rules, cut-offs, and segmentation strategies to balance growth, risk, and profitability.
- Analyze performance of existing strategies (vintages, cohorts, segments) and recommend data-driven enhancements.
- Use SQL and Python to extract, transform, and analyze large datasets from multiple internal, bureau, and third‑party sources.

Fraud Risk (First-Party Focus)
- Apply on Kit Job: kitjob.in/job/4lwxnv