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17/01 Rashmi Gaikwad
HR at Credit Suisse

Views:2961 Applications:93 Rec. Actions:Recruiter Actions:33

Credit Suisse - Vice President - Model Development - ERC Team (8-14 yrs)

Mumbai Job Code: 654697

VP - Model Development - ERC Team

We Offer:

The team is responsible for developing the methodology for many of the components of the bank's Economic Capital model. The responsibilities of the candidate would include:

- Understanding the Economic Capital measure and its various components;

- Developing, enhancing and maintaining economic risk capital models (e.g. Pension risk, Business risk, etc.);

- Proactively seek solutions to improve material parts of the model; review and improve component; identify the relevant sources of risk and assess their capture;

- Researching alternative methodologies, and comparing them; justifying and test the chosen option;

- Ensuring that the models adhere to internal and external policies/guidelines and pass model validation;

- Documentation of the models following internal and external standards (e.g. validation, SR 11-7), also ensure models are BCBS 239 compliant;

- Collaborating with quant developers and IT analyst to implement changes to the model;

- Establishing processes to monitor the models to ensure they remain fit for purpose;

- Presentations to senior management ensuring that model risk, technicalities, change impacts etc. are well understood;

- Support embedding ERC into critical management processes of the firm, including financial planning, strategic planning, risk appetite setting, assessment of new businesses/material trades, and ultimately performance management.

You Offer:

- At least 8+ years of experience in methodology development projects or a quantitative risk measurement role in a financial institution. Experience in Treasury risk, Pension risk, ALM modeling is desirable; previous Economic Capital experience is desirable

- Previous experience in leading methodology development projects and supervising quantitative analysts would be an advantage

- A candidate with degree in Quantitative Finance, Financial Engineering, Econometrics or Statistics is preferred. Accounting knowledge is desirable;

- Professional qualification e.g. CFA, FRM, PRM, CA, CQF would be an advantage;

- VBA, R, Python or SQL knowledge is an advantage;

- General knowledge of risk issues and investment products;

- Experience in methodology documentation is highly valued;

- Ability to work well in a global team, manage work and build relationships;

- Positive attitude, good communication, presentation skills;

- Ability to produce high quality, accurate work, under pressure and to tight deadlines;

- Willingness to take responsibility, challenge the status quo and ability to provide alternative solutions.

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Women-friendly workplace:

Maternity and Paternity Benefits

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