Assistant Manager - Risk Analytics - User Lending
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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand and metro location increase applicant density, but credit-risk specialization narrows the pool.
High because credit-risk and BNPL portfolio modelling skills are industry- and domain-specialized.
High due to mandatory credit-risk domain experience, PD/EAD/LGD modelling, and specific SQL/Python/BRE skills.
Job Description
Structured overview of role & requirementsAbout This Role
Lead risk analytics initiatives for digital lending portfolios including BNPL, Personal Loans, and unsecured lending products.
Analyze portfolio performance metrics and conduct root cause analysis to identify and manage key credit risks.
Collaborate with cross-functional teams to design and implement risk strategies, policies, and scorecards, delivering actionable insights to senior stakeholders.
Minimum Requirements
Experience in Credit Risk, Risk Analytics, or Decision Science within digital lending portfolios such as BNPL or Personal Loans.
Strong proficiency with SQL, Python, and data mining tools like Hive or Metabase.
Educational background: MBA, Engineering, or Master's in Statistics, Data Science, or related quantitative fields.
Work Experience Required: Not explicitly mentioned in the JD
Ideal Candidate Profile
Demonstrated ability to independently drive analytics projects in fast-paced, ambiguous environments with high ownership.
Strong expertise in credit risk modeling concepts including PD, EAD, LGD, and Expected Credit Loss (ECL).
Experience in collaborating with business, product, and data science teams to translate data into risk strategies and policy interventions.