Jun. Risk Modeler Jun. Risk Modeler …

Credit Suisse
in Mumbai, Maharashtra, India
Permanent, Full time
Be the first to apply
Competitive
Credit Suisse
in Mumbai, Maharashtra, India
Permanent, Full time
Be the first to apply
Competitive
Credit Suisse
Jun. Risk Modeler
Credit Suisse is a leading global wealth manager with strong investment banking capabilities. Headquartered in Zurich, Switzerland, we have a global reach with operations in about 50 countries and employ more than 45,000 people from over 150 different nations. Embodying entrepreneurial spirit, Credit Suisse delivers holistic financial solutions to our clients, including innovative products and specially tailored advice. Striving for quality and excellence in our work, we recognize and reward extraordinary performance among our employees, provide wide-ranging training and development opportunities, and benefit from a diverse range of perspectives to create value for our clients, shareholders and communities. We are Credit Suisse.

We Offer
The role is within the Independent Validation & Review (IVR) at Credit Suisse, the Model Risk Management (MRM) team has a mandate to validate the Bank's business-impactful models firm wide and more generally to identify measure and manage model risk across Credit Suisse. The team is established in New York, London, Zurich, Mumbai, Warsaw, Hong Kong and Singapore. As part of the Algos validation team within Model Risk Management the candidate will gain exposure to wide variety of modeling techniques in the Algorithmic Trading frameworks. The current heightened regulatory focus on these areas and the team's broader model risk scope also guarantees a significant level of interest and visibility to the business and senior management. Opportunities to present results to business partners as well as peers are numerous, allowing the candidate to widen and develop their network and reputation.

We are a department that values Diversity and Inclusion (D&I) and are committed to realizing the firm's D&I ambition, which is an integral part of our cultural values

The successful candidate will be responsible for

  • Validation of front office business models across different asset classes (Equity, FX, Credit and Rates). This includes validation of models covering electronic trading, research, investment banking and other models relevant to the trading desks.
  • Performing testing and producing validation documentation following the model validation guidelines of SR11-7.
  • Timely delivery of model reviews with effective challenge and reporting of identified issues.
  • Independent model validation through statistical techniques, development of benchmark models and data analysis.
  • Review of model methodologies to ensure continuing compliance with different regulatory rules.
  • Coordinating and collaborating with business partners across trading, structuring, research, IT and risk management.
  • Conducting research for establishing methodologies that estimate model risks.
  • Encouraged to demonstrate independence in planning and partner engagement, testing design and execution, results interpretation and presentation, and the production of documentation strong enough to evidence a sound challenge to both internal and external parties.

The truly global scope of model risk means that this role will involve working with an exceptionally broad group of business partners from every part of the firm, investigating model risk and model governance standards and performing detailed validation of risk models.

You Offer
  • Understand the value of diversity in the workplace and are dedicated to fostering an inclusive culture in all aspects of working life so that people from all backgrounds receive equal treatment, realize their full potential and can bring their full, authentic selves to work.
  • Candidate suitable for the role is expected to hold a Masters or PhD degree in a quantitative field, e.g. Mathematics, Physics, Engineering or Finance.
  • Relevant past experience of 2-3 years in Model Validation, Front Office Quantitative Analysis or Quantitative Risk Management is preferred.
  • Proficiency in programming including experience of software applications such as C++, C#, R or Python.
  • Good knowledge of financial products, stochastic calculus, statistics and numerical algorithms.
  • Client focus and the ability to communicate effectively with senior partners, and can explain complex topics to a diverse range of audiences.
  • Self-motivation, field, task focus, can structure and present work and a proven record of delivering high quality results under strict deadlines.
  • Hands-on experience of statistical models and broader financial modeling.
  • Result oriented, dedicated, hardworking and can work on own initiative whilst also working collaboratively and deliver on time with a high level of integrity, sense of urgency, attention to detail and quality standards


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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