Assistant Manager - Credit Policy & MIS
RAKBANK is hiring an Assistant Manager - Credit Policy & MIS. Level rates it ; you can apply on RAKBANK.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- The posting mentions SQL, Python and SAS among its tools and skills.
- Level classes it as a mid-level role.
- RAKBANK has 51 other open roles on Level.
- Posted within the past week.
AI in this role
Monitors, analyzes, and optimizes unsecured lending portfolio performance through risk analytics and data modeling.
At RAKBANK, we believe in fostering a culture of innovation, growth, and excellence. We are not just a bank; we are a community that thrives on teamwork, data-driven decision-making, and strong risk governance.
The Risk Analyst / Risk Manager – Unsecured Lending plays a critical role in monitoring, analyzing, and optimizing the performance of the Bank's unsecured lending portfolios, including Personal Loans, Credit Cards, and other retail lending products. The role is responsible for transforming complex portfolio data into actionable insights that support sustainable portfolio growth, effective risk management, and enhanced risk-adjusted profitability. Working closely with Credit Risk, Business, Finance, Collections, Product, and Data teams, the incumbent will help shape lending strategies, portfolio actions, and policy decisions through robust analytics and portfolio performance monitoring.
What You Will Be Doing:
- Monitor unsecured lending portfolio performance across acquisition, customer lifecycle, delinquency, loss, recovery, and profitability dimensions.
- Develop and analyze MOB (Months on Book) and vintage curves to assess portfolio behavior, seasoning effects, stabilization patterns, and emerging risk trends.
- Evaluate key portfolio risk metrics, including delinquency rates, roll rates, flow rates, cure rates, bucket migration, NPA formation, write-offs, recoveries, and cost of risk.
- Perform detailed portfolio segmentation and deep-dive analyses across customer, channel, geography, employer category, score band, salary segment, and vintage cohorts.
- Monitor application and behavioral scorecards using metrics such as bad rates, Gini, KS, lift, PSI, calibration, score migration, overrides, and cut-off performance.
- Conduct risk-return analysis to evaluate acquisition strategies, approval policies, collections treatments, exposure limits, pricing strategies, and profitability outcomes.
- Design, execute, and evaluate champion-challenger and test-and-control strategies to optimize approval quality, portfolio growth, and risk-adjusted returns.
- Develop portfolio forecasts, scenario analyses, stress-testing frameworks, and early-warning indicators.
- Translate analytical findings into clear recommendations relating to credit policies, score cut-offs, exposure limits, segment strategies, and portfolio actions.
- Develop and maintain automated dashboards, analytical datasets, and management reporting tools using SQL, Python, SAS, R, Power BI, Tableau, and Excel.
- Prepare portfolio reviews and management reports for senior leadership, highlighting key trends, risks, insights, and recommended actions.
- Partner with Data Science, Model Risk, and Technology teams on model development, validation, implementation, monitoring, and performance tracking.
- Ensure data quality, reconciliation, governance, and reproducibility of analytical outputs used in decision-making.
What You Should Have:
- Bachelor's Degree in Statistics, Mathematics, Economics, Finance, Engineering, Data Science, Computer Science, or a related quantitative discipline.
- 3-7 years of experience in retail credit risk analytics, portfolio analytics, risk strategy, or a related quantitative risk role.
- Strong experience within unsecured lending portfolios, specifically Personal Loans and Credit Cards.
- Hands-on experience working with large account-level datasets and portfolio monitoring frameworks.
- Strong understanding of MOB analysis, vintage curves, delinquency migration, roll rates, flow rates, NPA tracking, and loss forecasting.
- Experience in scorecard performance monitoring, model validation, calibration, stability analysis, and strategy optimization.
- Advanced SQL skills with experience creating analytical datasets, performing data validation, and executing complex queries.
- Advanced experience with Power BI, Tableau, and Excel for dashboard development and management reporting.
- Strong understanding of risk-adjusted profitability metrics, including Expected Loss (EL), Cost of Risk (CoR), ECL, NIM, ROA, and portfolio economics.
What We Are Looking For:
- A highly analytical risk professional with strong expertise in unsecured lending portfolio analytics and credit risk management.
- Proven ability to identify emerging portfolio risks and translate complex analytical findings into practical business actions.
- Strong commercial acumen with the ability to balance growth, profitability, customer outcomes, and risk management objectives.
- Ability to challenge assumptions constructively and provide evidence-based recommendations.
- Effective communication and data storytelling capabilities, with the ability to simplify complex analysis for senior management and governance forums.
- A proactive mindset with a passion for continuous improvement, automation, and innovation in risk analytics.
What's In It For You:
- Opportunity to work with one of the UAE's leading banks in a highly strategic credit risk function.
- Collaborative and performance-driven work environment focused on innovation and continuous learning.
- Competitive compensation, comprehensive benefits, and long-term career growth opportunities within Retail Banking and Risk Management.
- Opportunity to contribute directly to sustainable portfolio growth and enhanced risk-adjusted returns for the Bank.
How we rate this
Assistant Manager - Credit Policy & MIS at RAKBANK rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where risk analysis was part of your work. What did you do?
- Tell me about a project where portfolio management was part of your work. What did you do?
- Tell me about a project where credit policy was part of your work. What did you do?
- Tell me about a project where data analytics was part of your work. What did you do?
- Tell me about a project where forecasting was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Risk Analysis, Portfolio Management, Credit Policy, Data Analytics, and Forecasting. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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