Senior Quantitative Analyst - Risk Management (Murex & Model Validation)

Project description

We are seeking a highly skilled Senior Quantitative Analyst to join the Risk Management team and support the bank's Model Risk Management and Independent Model Validation (IMV) functions. You will be responsible for the end-to-end model validation of financial products within the Murex platform, ensuring all pricing, risk, and calibration models are robust, compliant, and accurately reflected. The candidate will possess strong quantitative skills, deep knowledge of the Murex platform across Front-to-Back workflows, and hands-on experience in model validation, risk analytics, and user enablement. The role will partner closely with Risk, Front Office, and Head Office (HO) Model Validation teams to ensure that pricing, valuation, market risk, and regulatory models implemented within Murex are independently validated, governed, documented, and utilized effectively across the organization.

Responsibilities

• Murex Functional & Quantitative Expertise. Act as the subject matter expert (SME) for Murex pricing, valuation, and risk models. End-to-End Murex Model Validation: Conduct rigorous, independent model validation of derivatives pricing, market risk (VaR/FRTB), credit risk (XVA, PFE), and calibration models directly within the Murex platform. Functional & Technical Analysis: Map mathematical quantitative models to Murex configuration (e.g., MLC, MxML, Market Data Cubes, Pre-Trade/Post-Trade workflows) to ensure end-to-end integrity of risk numbers. Evaluate implementation of quantitative models across asset classes including: Interest Rate Derivatives FX Products Credit Products Fixed Income Securities Structured Products User Training & Upskilling: Design and deliver technical training sessions for risk managers and system analysts regarding new Murex model features, analytics engines, and risk functionalities. Conduct quantitative testing including: Benchmarking Sensitivity Analysis Back-testing Stress Testing Scenario Analysis Model Performance Assessment Documentation: Produce clear, comprehensive validation reports detailing model assumptions, limitations, mathematical derivations, and testing results for internal governance and review. Head Office Model Validation Support. Support Head Office Model Risk Management teams in conducting Independent Model Validation activities. Coordinate information gathering, testing evidence, model documentation, and validation deliverables. Assist in model approval, remediation, and periodic review processes. Track validation findings and support closure of identified model risks and control gaps. Act as a key contact point for model-related queries and Murex functional support. Stakeholder Management Collaborate with Front Office, Market Risk, Finance, and Technology teams. Engage with external consultants (Murex) and implementation teams. Present validation findings and recommendations to senior management and model governance committees where required.

SKILLS

Must have

• Murex Expertise: Minimum of 5+ years of hands-on experience working directly with the Murex platform, end-to-end understanding of how Murex handles pricing analytics, curves, and risk matrices. Quant Risk Experience: 6+ years of experience in quantitative risk management or model validation within a corporate/investment banking environment. Asset Class Knowledge: Strong understanding of financial products and quantitative valuation methodologies. Technical Skills: Proficient in programming languages used for prototyping and data analysis (e.g., Python, C++, MATLAB, or R) alongside SQL for data extraction. Excel/VBA and Data Analytics & Reporting Tools. Professional certifications such as FRM, CQF, CFA, or equivalent are preferred. Education: Bachelor's or Master's degree in a highly quantitative field (Quantitative Finance, Financial Engineering, Mathematics, Statistics, or Physics) Soft Skills Communication: Ability to translate complex quantitative concepts into plain, actionable language for non-technical stakeholders, senior management, and business users. Collaboration: Strong interpersonal skills to effectively collaborate across branches, IT teams, Vendor partners, and global Head Office risk divisions. Problem-Solving: A meticulous, analytical mindset with the ability to reverse-engineer discrepancies between theoretical models and system outputs.

Nice to have

Scrum Certifications from reputed institutes desirable.