A
Alpha Rupee
Head of Risk
Skills
SQL QueriesPythonProduct StrategyRData AnalysisMachine LearningAI
23 days ago
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Important information
Contract type:
Permanent
Salary:
₹6,000,000 – ₹7,000,000 / year
Location:
Bengaluru, Karnataka, India
Work mode:
Onsite
Published on:
3 October 2026
What they need
Head of Risk
Responsibilities
- Develop and implement the company's risk and product strategy;
- Own the risk function and key metrics: FPD7, NPL90, Collection Saldo, Risk-Adjusted Yield, LPC;
- Build, align, and execute the risk roadmap on time and in full;
- Own credit policy (segmentation, limits, decline/approval logic, change governance);
- Own fraud risk as a distinct discipline (synthetic identity, document fraud, mule networks, device and behavioural signals);
- Build and lead the Risk and AI/ML teams, delivering in-house scoring at parity with external vendors;
- Manage the full risk-vendor portfolio: bureaus, risk-service providers, alternative-data, KYC and fraud providers;
- Operate as a member of the executive team: strategic planning, growth initiatives, top-management ownership;
- Prepare and defend the team budget in order to achieve goals.
6-12 Month Expectations
- Loans per Customer 5.0, NPL90 15%;
- In-house scoring models built and deployed, performing at least on par with our external risk vendor.
Who We Are Looking For
- 7+ years in consumer lending, including 5+ years in Indian PDL;
- Owned risk strategy end-to-end as CRO or Head of Risk, or at a larger lender as Deputy CRO or sole risk owner of one product;
- Built, or led the build of, credit risk models, scorecards, or decisioning rules in production with quantified business impact (e.g., FPD or NPL reduction, approval-rate improvement, loss savings) that you can defend in detail;
- Worked hands-on in SQL and Python/R; scoped, validated, and challenged ML scoring models rather than delegating them blindly;
- Selected, onboarded, and phased out risk vendors (bureaus, scoring, alternative-data, fraud, KYC) based on measurable cost-vs-lift;
- Hired, built, and led a risk team of 5+ professionals across analytics, policy, and/or modelling;
- Drive to build a scalable risk system from scratch;
- Fluent English.
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