Vice President – Retail Credit Policy

🔥 10 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🔴 Lead

👔 Vice President

👻 Ghost score 10%

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Mashreq

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1967

🏦 Banking

💸 Finance

💳 Fintech

Banking • Finance • Fintech

Mashreq is a leading financial institution based in the UAE, offering a wide range of banking services including personal, corporate, and investment banking. The bank focuses on providing innovative financial solutions to its customers and has a strong digital banking presence.

📋 Description

• 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 senior leadership with forward-looking portfolio insights, risk appetite recommendations and timely actions to maintain losses, returns and capital consumption within plan • Set and execute portfolio strategies 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 • 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 • Partner with data science teams to develop, validate and deploy application, behavioral, propensity, fraud and early-warning models • 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 • Provide independent retail credit risk challenge for new products, partnerships, fintech propositions and material customer journey or decision engine changes • 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

🎯 Requirements

• Bachelor’s degree in Statistics, Mathematics, Economics, Finance, Engineering, Computer Science, Data Science or a related quantitative discipline • Postgraduate qualification is preferred • Typically 12–15 years in retail credit risk, portfolio management or risk analytics • Substantial leadership responsibility and direct exposure to credit cards, personal loans and digital lending/BNPL • 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 • Strong command of statistical analysis, experimentation, segmentation, forecasting, scorecards and AI/ML applications across underwriting, behavioral risk, propensity, fraud and early warning • 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 • Demonstrated ability to translate analytics into executable cut-offs, pricing, limits, treatments and growth strategies with clear economics, controls and performance measurement • 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 • Strong executive communication, stakeholder influence and people leadership • Ability to challenge constructively and present complex risk-return choices to senior committees