Data Scientist – Banking & Credit Risk
Skills
About This Role
Job Summary
We are looking for an experienced
Data Scientist
with strong domain expertise in the
banking sector
, specifically in
credit risk, lending, and scoring systems
.
The ideal candidate will have hands-on experience developing, validating, and deploying
credit scorecards, risk models, and analytics solutions
for loans and other banking products.
Key Responsibilities
- Design, develop, and maintain
- credit risk models
- , including application, behavior, and collection scorecards.
- Analyze large-scale banking datasets related to
- loans, credit portfolios, delinquencies, and defaults
- .
- Work closely with risk, compliance, and business teams to support
- loan decisioning and risk strategies
- .
- Develop and optimize
- scoring platforms
- and automated decisioning frameworks.
- Perform
- model validation, monitoring, and performance tracking
- to ensure regulatory and business compliance.
- Translate complex analytical outcomes into clear insights and recommendations for stakeholders.
- Ensure adherence to
- banking regulations and risk governance standards
- .
- Support end-to-end model lifecycle including documentation, approvals, and audits.
Required Skills & Qualifications
- Bachelor’s or Master’s degree in
Data Science, Statistics, Mathematics, Computer Science, Economics
- , or a related field.
- Proven experience as a
- Data Scientist within the banking or financial services sector
- .
- Strong hands-on experience with
- credit risk, loan analytics, scorecards, and scoring platforms
- .
- Expertise in
- statistical modeling techniques
- (e.g., logistic regression, decision trees, survival analysis).
- Proficiency in
Python, R, or SAS
- for data analysis and modeling.
- Experience working with
SQL
- and large relational databases.
- Solid understanding of
- credit policies, loan lifecycle, and risk metrics
- (PD, LGD, EAD preferred).
Preferred Qualifications
- Experience with
- alternative data
- and advanced ML techniques in credit risk.
- Familiarity with
- model governance, regulatory frameworks, and audits
- in banking.
- Exposure to
- retail banking products
- , including personal loans, auto loans, credit cards, or mortgages.
- Strong communication skills with the ability to explain technical results to non-technical stakeholders.
What We Offer
- Opportunity to work on
- high-impact banking and risk analytics projects
- .
- Collaborative and data-driven work environment.
- Competitive compensation and benefits.
- Career growth within analytics, risk, and AI functions.
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