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Mashreq Bank · Bengaluru, Karnataka, India

# Vice President- Retail Credit Policy

Bengaluru, Karnataka, India Remote Executive Finance & Accounting 

Listed on Mashreq Bank’s official careers site. Posted October 8, 2026. Check that it is still open and apply there.
[Apply on Mashreq Bank’s careers site →](https://hcld.fa.em2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/6919)

[OpenNash Jobs](https://jobs.opennash.com/) / [Mashreq Bank](https://jobs.opennash.com/companies/mashreq-bank/) / Vice President- Retail Credit Policy

## Job description

### Job Purpose
- Manage portfolio risk strategy and performance management for unsecured retail assets, including credit cards, personal loans, BNPL and other digital lending products.
- Own the end-to-end risk decision framework across acquisition, account management, line assignment, pricing, collections and customer lifecycle management.
- Use advanced analytics, segmentation and AI/ML models to optimize growth, credit quality, customer outcomes and risk-adjusted profitability.
- Provide the senior leadership team with forward-looking portfolio insights, clear risk appetite recommendations and timely actions to maintain losses, returns and capital consumption within plan.

### Key Result Areas
- Set and execute portfolio strategies for credit cards, personal loans, BNPL and emerging digital credit propositions, aligned with approved risk appetite, growth plans and regulatory requirements.
- Own portfolio performance across approval rates, activation, utilization, balances, yield, delinquencies, roll rates, loss rates, risk charge, vintage performance, expected credit loss, capital and risk-adjusted returns.
- Develop granular customer, product, channel, employer, income and behavioral segmentation to identify growth pockets, emerging risks and differentiated treatment strategies.
- Design and govern risk decision frameworks covering eligibility, score cut-offs, affordability, limits, tenor, pricing, line management, cross-sell, collections and exit strategies.
- Lead champion–challenger tests and controlled experiments; define success metrics, guardrails and post-implementation monitoring to scale profitable strategies safely.
- Partner with data science teams to develop, validate and deploy application, behavioral, propensity, fraud and early-warning models using traditional and alternative data.
- Establish responsible AI and model governance, including explainability, fairness, drift, stability, override, monitoring and human-oversight standards.
- Build executive dashboards, forecasts and scenario analyses linking risk drivers to revenue, margin, credit cost, operating expense, capital and lifetime customer profitability.
- Define early-warning indicators, portfolio triggers and remediation playbooks for adverse trends, concentration risks and macroeconomic or market shocks.
- Provide independent retail credit risk challenge for new products, partnerships, fintech propositions and material changes to customer journeys or decision engines.
- Ensure compliance with Central Bank requirements, internal policies, model risk standards, consumer protection expectations and audit requirements.
- Lead, coach and develop a high-performing portfolio analytics team and strengthen data-driven decision making across Retail Banking. Knowledge, Skills and Experience

### Education
- Bachelor’s degree in Statistics, Mathematics, Economics, Finance, Engineering, Computer Science, Data Science or a related quantitative discipline; postgraduate qualification is preferred.

### Experience
- Typically 12–15 years in retail credit risk, portfolio management or risk analytics, including substantial leadership responsibility and direct exposure to credit cards, personal loans and digital lending/BNPL.

### Portfolio expertise
- Proven ownership of acquisition and account-management strategies, vintages, roll rates, delinquency, loss forecasting, provisions, risk-adjusted profitability, limit management, collections strategies and portfolio optimization.

### Analytics and modeling
- Strong command of statistical analysis, experimentation, segmentation, forecasting, scorecards and AI/ML applications across underwriting, behavioral risk, propensity, fraud and early warning.

### Technical capability
- Hands-on proficiency in SQL and at least one analytical language such as Python, R or SAS; strong working knowledge of Power BI/Tableau, large datasets, data pipelines and cloud analytics environments.

### Decision frameworks
- Demonstrated ability to translate analytics into executable cut-offs, pricing, limits, treatments and growth strategies with clear economics, controls and performance measurement.

### Governance
- Sound understanding of model risk, responsible AI, explainability, fairness, data privacy, consumer protection, IFRS 9/provisioning concepts and Central Bank requirements relevant to retail lending.

### Leadership
- Strong executive communication, stakeholder influence and people leadership, with the ability to challenge constructively and present complex risk-return choices to senior committees.

## At a glance
- Posted by the employer: Oct 8, 2026
- First seen by OpenNash: Oct 13, 2026
- Last checked: Oct 20, 2026
- Listed for: 12 days
- Location: Bengaluru, Karnataka, India
- Work arrangement: Remote[Apply on Mashreq Bank’s careers site →](https://hcld.fa.em2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/6919)

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