Model Risk Manager

Job Description

Who are we?Outsized is a talent-on-demand platform for enterprise clients and consulting firms in Asia, Middle East and South Africa. We focus on full-time contracts (remote or onsite), typically between 1-12 months. We help our talent upskill so they have better chances of landing their dream projects and charge fair rates. Outsized members have access to an exclusive community where they can connect with peers and experts, take part in live events, and find project collaborators.Who are we looking for?Our client, a leading Consulting firm is seeking a Model Risk Manager. This position is initially a 6 month contractual position with a high probability of conversion to a permanent role and offers a unique opportunity for a skilled professional to advise clients on financial risk analytics, providing expertise across a spectrum of risk management areas. The ideal candidate will bring a wealth of experience in model development, model validation, model governance frameworks, stress testing, and portfolio analytics and reporting. This role is not only about applying existing skills but also about pushing the boundaries of financial risk management to protect and enhance client value.Role & Responsibilities:Model Development: Creating and refining data-driven and expert judgment-based models for both retail and wholesale portfolios. This includes credit risk models, scorecards, collection models, and more.Model Validation: Utilizing statistical and qualitative methods to validate various models within the risk domain, including familiarity with BIS working paper 14 and conducting model validation reports.Model Governance Framework: Implementing model governance frameworks for financial institutions, encompassing policy and procedures, model inventory, lifecycle, and control frameworks.Stress Testing: Conducting both regulatory and internal stress tests to evaluate financial institutions' resilience against capital adequacy and earnings volatility.Portfolio Analytics and Reporting: Engaging in deep-dive analytics, segment performance reviews, and the development of AI/ML models to support client business decisions.Skills & Qualifications:Experience: 6 to 10 years in financial services advisory or in credit risk/ERM departments within banks, preferably with leading consulting firms.Education: A Bachelor’s or Master’s in quantitative disciplines or an MBA (Finance) from a leading business school. Professional qualifications like Chartered Accountancy, FRM, SCR, or CFA are advantageous.Skills: Expertise in MS Excel, PowerPoint, Word, and data modelling software (R, SAS, Python). Strong analytical, interpersonal, communication, and presentation skills are essential.Personal Attributes: Creative thinker with rigorous analytical skills, high energy, meticulous attention to detail, and the ability to multitask. Willingness to travel and second language skills are beneficial.

Job Requirements

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