Quantitative Risk Advisory Professional
An exciting opportunity has arisen in the Deloitte SG Regulatory and Financial Risk advisory team, as a quantitative manager. As a contributing member of the RFR advisory team within the financial services industry assurance practice, you will be providing business advisory services to a portfolio of diversified financial service clients across a range of topics, including Climate Risk modelling, cross-asset Derivatives Valuation, Capital Methodology and AI Model Validation services.
Responsibilities:
Your scope of work will include assisting clients with the following:
- Quantitative modelling for complex and evolving areas such as Climate Risk Stress Testing and AI Model Validation
- Quantitative analysis for Markets & Treasury products/models as well as Capital Methodology (e.g. FRTB, SACCR)
- Providing quantitative advice on regulatory compliance matters such as operationalization of new regulatory obligations (e.g. LIBOR Transition, SIMM Initial Margin)
- Providing IFRS 13 & IFRS 9 complex instrument valuation support to audit engagement teams
- Participating in industry consultations and thought-leadership on regulatory matters
- Developing technical solutions and/or value adding propositions and taking these to market
- Overseeing in-house quantitative advisory, training and knowledge management
- Assisting with day-to-day management of the RFR Advisory team and training/developing of a number of junior staff members
Pre-requisites:
- A minimum of 5 years prior experience in a prior Banking or Consulting quantitative role (e.g. FO Quant, Model Validation or Capital Methodology quant)
- Strong academic background, with a minimum of a masters in a quantitative discipline (Mathematics, Physics, Financial Engineering) with a solid grounding in stochastic calculus
- Cross-asset derivatives pricing knowledge including awareness of Regulatory capital and XVA methodologies is a plus. Alternatively strong domain knowledge in Credit and/or Climate Risk.
- Proficient in either Python, C++ or C# with financial library development experience. Additional coding experience in R and VBA also advantageous.
- Solid analytical, writing and communication skills and ability to work independently.
- Team player and demonstrated ability to manage multiple demands and priorities.
- High personal standard of ethics, integrity and commitment to fulfilling the objectives of the position.
We regret that only shortlisted applicants will be notified.
