Senior Manager- Risk Consulting- FSRM

Location:

Riyadh

Other locations:
Primary Location Only

Date: 11 May 2026

Requisition

As part of EY’s Financial Services Risk & Finance practice, you will help leading banks, capital markets firms, insurers, non-banking financial institutions and public-sector financial services entities strengthen resilience, meet regulatory expectations and unlock value through risk and finance transformation. Our work spans regulatory compliance and prudential supervision, credit and capital (incl. capital adequacy and liquidity), market risk, operational risk, enterprise risk, structured finance and quantitative advisory.

At EY, you’ll join a collaborative, inclusive and high-performing team where your development is intentional and continuous. With a structured career framework and a global network, you’ll gain exposure to leading practices, complex engagements and diverse perspectives across industries and geographies. Saudi Arabia is a strategic priority market for EY, offering exceptional growth and the opportunity to shape outcomes for some of the region’s most important financial institutions and national champions.

As a Financial Services Risk Senior Manager, you will lead and deliver complex FS Risk engagements and provide technical direction across work streams. You will operate as a trusted team leader—owning day-to-day delivery, coaching team members, managing stakeholders and proactively updating engagement Directors and Partners on progress, risks and dependencies. You will build strong relationships with clients and internal peers, contribute to compelling presentations and support business development through proposals and pursuit materials.

• Leading and delivering financial risk and risk transformation programs, domestically and/or internationally
• Ability to analyse current-state reporting and the underlying complexity (requirements, data, reporting solutions and operating model)
• Experience across finance and data/reporting initiatives; strong IT and financial accounting knowledge to bridge business and technology
• Ability to profile and interpret data constructs and translate them into meaningful business constructs
• Self-motivated, with strong energy, drive and accountability
• Proven ability to lead teams and projects, communicate and influence senior stakeholders, resolve issues and deliver under pressure
• Learning agility—able to ramp up quickly, explore new ideas and identify opportunities

• 10+ years of strong Financial Services Risk experience within leading FS organisations and/or top-tier consultancy firms
• Prior experience working (as an employee or a consultant) with government-owned financial institutions—particularly development funds and sovereign wealth funds (SWFs)
• Experience in as many of the following areas: quantitative analytics, treasury and treasury operations, investments, market risk, performance measurement, ALM/FTP, fixed income, derivatives and hedging, credit risk modelling and ECL, liquidity analysis, financial planning and forecasting, capital and RWA management/optimisation, risk appetite, credit lifecycle and operating model, loan pricing and analytics, etc.
• Experience in economic capital modelling, economic analysis, data analytics, design and implementation of ERM solutions, and deployment / integration of risk analytics into business processes, etc.
• Prior experience in credit risk, market risk, liquidity risk and/or operational risk
• Ideally, the previous experience in developed markets (e.g., EU, US, Canada, Australia, Hong Kong, Singapore, etc.) and some presence in, or connection to, MENA is preferred
• Strong educational background from a top institution in a quantitative discipline (finance, economics, actuarial science or related)
• Experience working in a project-based, team-oriented environment (ideally consulting), with a proven track record of managing teams and delivering in fast-paced, demanding settings
• Strong understanding of the credit lifecycle, including experience with credit rating and analysis and approval processes
• Foundational understanding of AI/GenAI…