Credit Suisse is a leading global wealth manager with strong investment banking and asset management capabilities. Founded in 1856, Credit Suisse has expanded to be a global force employing over 45,000 people in 50 countries. With new leadership, a new strategy and a streamlined global organization, we are set for growth. We partner across businesses, divisions and regions to create innovative solutions to meet the needs of our clients- and to help our employees grow. It is a high priority for us to continually invest in our employees by providing ongoing opportunities for training, networking and mobility. Join us and let's shape the future of Credit Suisse together.

We Offer:

Credit Suisse's Enterprise and Operational Risk Management (EORM) department within the Chief Risk Officer (CRO) division partners with key stakeholders throughout the Bank to strengthen holistic risk coverage and optimize the capital planning process commensurate with the firm's risk profile. EORM is building its stress testing and overall risk capabilities to meet an evolving regulatory environment for Group as well as to meet other risk and regulatory requirements across different regions.

This role would be part of the Scenarios Execution and Analytics team within EORM, and be based in Mumbai.

The successful candidate will be responsible for developing quantitative and qualitative tools to run and analyse stress testing results for the group and be responsible to produce scenario results and presentations to the senior management of the team. The key external stakeholders are the group head regulator (FINMA) as well as CS Board and Senior Management.

This opportunity will support the development of the stress testing framework from an Enterprise risk perspective, including but not limited to:

- Preparation of scenario analysis presentations for senior management, the Board and Regulators. FINMA stress testing requirements including: Risk identification process and monitoring, Analysis of Regulatory Scenario results, and preparation of regulatory submissions.

- Scenario-based Risk Appetite metrics as part of the firm's Risk Appetite Statement, including: Stressed capital (capital resources, capital requirements and capital ratios), earnings, and leverage ratio, and including the design of appropriate stress testing methodology

- Ad-hoc internal stress scenario analysis that may be required by senior committees

- Recovery Scenarios (qualitative storyboard and quantitative calibration) and triggers (both P&L and capital) as part of Recovery and Resolution Plan (RRP) and Reverse stress testing framework

- Monthly/quarterly assessment of the firm's adherence to stressed capital, earnings and leverage metrics in the Risk Appetite Statement. Liaise with front office, Capital Management Group and other stakeholders to identify and evaluate mitigating actions where required

- Project managing cross-functional (e.g. Finance, Treasury, Risk etc.) inputs required from subject matter experts across the firm to meet above deliverables

- This role offers high exposure to Senior Management. Moreover the role is within one of the fastest growing and critical areas of the bank - stress testing. Stress Testing Scenario Analysis and related modeling are expected to gain even more prominence in the future.

- The Stress Testing group is located in London, Mumbai, Warsaw and Zrich.

- The job entails working to distill risk information from the analysis of stress testing results, and apply quantitative techniques to derive tangible implications for business lines and the group. The results of stress testing analysis would also feed into internal risk appetite / limit setting process and hence successful candidate would be expected to further integrate stress testing results with business decision making process.

You Offer:

- Excellent understanding of banking revenue across different product streams within a financial institution, together with revenue planning and forecasting processes

- Excellent understanding of capital concepts (e.g. available capital, capital deductions, risk-weighted assets) and balance sheet concepts (e.g. leverage ratio)

- Experience or/and understanding of stress testing and scenario analysis across key risk types (market risk, credit risk and operational risk) required

- An excellent degree-level education (or equivalent) in a quantititative discipline essential

- Post graduate qualifications within a relevant field (MS- Finance, MBA, etc ) and additional certifications such as CFA, FRM, PRIMA preferred

- Experience of working in R / MATLAB or one of the programming languages such as C# / Java / Python

Credit Suisse is an equal opportunity employer. Welcoming diversity gives us a competitive advantage in the global marketplace and drives our success.

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