Risk Analyst

8 years

0 Lacs

Posted:4 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Role Overview:

Credit Risk Strategy Analyst


Key Responsibilities:

  • Design, implement, and optimize

    credit risk strategies

    across the customer lifecycle, including acquisition, underwriting, account management, and collections.
  • Conduct detailed

    risk analysis

    to identify trends, portfolio health indicators, and early warning signals.
  • Develop dashboards and performance reports using

    visualization tools

    (Power BI, Tableau, etc.) to support strategic decision-making.
  • Use

    SQL and Python

    to extract, manipulate, analyze, and model large datasets from multiple banking and risk systems.
  • Partner with product, policy, analytics, and compliance teams to refine decision rules and strengthen risk governance.
  • Support the creation of risk scorecards and segmentation frameworks for improved credit decisioning.
  • Evaluate performance of existing strategies and recommend enhancements based on data-driven insights.
  • Ensure compliance with internal risk policies, regulatory expectations, and audit requirements.
  • Document analytical outputs, methodologies, and recommendations for leadership review.


Required Skills & Experience:

  • 4–8 years of experience in

    Credit Risk Strategy

    , Banking Risk, or Risk Analytics.
  • Strong proficiency in

    SQL

    for data extraction and transformation.
  • Hands-on experience with

    Python

    for analytics, modeling, and automation.
  • Proficiency in

    data visualization tools

    (Power BI, Tableau, or equivalent).
  • Solid understanding of

    credit lifecycle

    , risk KPIs, and banking risk concepts.
  • Experience working with financial, credit bureau, and behavioral datasets.
  • Strong analytical thinking, problem-solving skills, and stakeholder communication abilities.


Preferred Qualifications:

  • Experience in

    retail lending, digital lending, credit cards, BNPL, or personal loans

    .
  • Knowledge of

    risk decision engines

    , strategy deployment, or rules configuration.
  • Familiarity with regulatory frameworks (RBI guidelines, Basel norms, credit risk governance).
  • Background in

    statistics, finance, economics, mathematics, or data science

    .

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EXL

Business Process Management / Analytics

New York

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