jobseeker Logo
Now Apply on the Go!
Download iimjobs Jobseeker App and get a seamless experience for your job-hunting
24/04 Rashmi Gaikwad
HR at Credit Suisse

Views:1953 Applications:137 Rec. Actions:Recruiter Actions:4

Credit Suisse - AVP - Risk Modeler - Structured Products Methodology Team (4-9 yrs)

Mumbai Job Code: 565099

Structured Products Methodology - Risk Modeler: AVP # 109344

The role is for a model developer in the Securitized Products methodology team, and the principle responsibilities include:

- Develop and analyse new quantitative market risk models for products traded by the Securitized Products business, and ensure their correct implementation

- Review existing models to ensure they remain fit for purpose and make improvements where necessary

- Ensure all models are adequately documented (to SR11-7 standards) for both internal and external (e.g. regulatory) purposes

- Understand the products traded and trading strategies used, and be able to explain to various stakeholders

- Evaluate the impact of new models and capital rules

- Collaborate closely with the market risk managers to ensure that their concerns are appropriately reflected in the models

- Collaborate closely with the model validation team to understand validation results and remediate concerns where necessary

- Collaborate with the data, IT, and change management teams to ensure that methodology changes are appropriately project-managed for implementation

Qualifications - 

- The candidate should have an advanced degree in financial mathematics or a technical subject such as mathematics, theoretical physics, econometrics, statistics or engineering.

- The role would suit a candidate with experience in quantitative risk measurement within an investment bank or, more broadly, with experience in a quantitative role within finance.

- It is essential that the candidate have a keen desire to learn the structured products business and the associated market risk modeling.

- A solid quantitative background is essential.

- A background in statistics, time series analysis and probability theory would be of particular interest.

- In addition, the candidate should have good programming skills - experience in C#, R or Python are desirable.

- Strong communication skills are also essential.

- The candidate should be able to explain complicated concepts clearly to our partners and stakeholders, and present their proposals in a clear and precise manner to management and stakeholders.

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

Add a note
Something suspicious? Report this job posting.