Description

Job Description

EXL (NASDAQ: EXLS) is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world's leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect.

We are headquartered in New York and have more than 60,000 employees spanning six continents. For more information, visit www.exlservice.com.

Role: Senior Manager - Risk Science

BU/Segment: Banking / Analytics

Location: London, United Kingdom (Flexible hybrid working)

Employment Type: Umbrella Contract (Inside IR35) to start ASAP

Summary of the role:
We are seeking a Senior Manager - Risk Science to strengthen our Risk Analytics function. The role will primarily focus on the design, development, and validation of Impairment (IFRS 9/CECL) and Capital (Basel/ICAAP/Stress Testing) models, ensuring regulatory compliance and supporting business decision-making. The ideal candidate will bring strong quantitative expertise, domain knowledge in credit risk, and hands-on proficiency with SAS and Python.

As part of your duties, you will be responsible for:
• Develop, maintain, and enhance credit risk models for Impairment (IFRS 9, CECL) and Capital (PD, LGD, EAD, Stress Testing, ICAAP, Basel frameworks).
• Conduct model validation, back-testing, and monitoring to ensure accuracy, stability, and compliance with regulatory standards.
• Perform portfolio analytics to assess credit risk drivers, sensitivities, and capital impacts under different scenarios.
• Leverage SAS and Python for data extraction, analysis, statistical modeling, and automation of processes.
• Translate regulatory requirements into quantitative methodologies and modeling approaches.
• Collaborate with stakeholders across Risk, Finance, Data and Regulatory Reporting teams to align models with business and compliance needs.
• Prepare high-quality model documentation and governance material for internal committees and regulators.
• Provide mentorship and guidance to junior analysts on credit risk modeling techniques and coding best practices.
• Review model background documents and grasp the fundamentals of the approach, and examine the BAU process to understand how it operates in practice.
• Assess the impact of proposed changes and identify necessary process adjustments.

Qualifications and experience we consider to be essential for the role:
• 7-12 years of experience in credit risk analytics and modeling, with focus on Impairment (IFRS 9/CECL) and Capital (Basel, ICAAP, Stress Testing).
• Strong hands-on expertise in SAS (Base, Macros, SQL) and Python (pandas, NumPy, scikit-learn, statsmodels).
• Proven track record in model development, validation, and performance monitoring.
• Deep understanding of statistical techniques (regression, survival analysis, time series, ML methods) applied to credit risk.
• Solid knowledge of regulatory frameworks - Basel III/IV, IFRS 9, CECL, PRA/ECB guidelines.
• Strong analytical, problem-solving, and communication skills, with the ability to explain complex models to non-technical stakeholders.
• Experience handling large datasets in banking/financial services environments.

Skills and Personal attributes we would like to have:
• Experience working with cloud-based analytics environments (GCP BigQuery, AWS, Azure).
• Exposure to advanced ML/AI techniques applied to credit risk modeling.
• Professional certifications such as FRM, CFA, or PRM.
• Master's/PhD in Statistics, Mathematics, Economics, Finance, Engineering, or related quantitative discipline.

To be considered for this role, you must already be eligible to work in the United Kingdom.