As a key member of the risk function, you will be responsible for advancing financial risk management across the organisation by developing risk policies, procedures, and tools.
The hiring firm is looking for a quant risk manager with experience/knowledge across market risk, counterparty risk, capital, liquidity, etc. with experience overhauling or implementing new risk methodologies.
This is a chance to drive the development of risk methodologies in the industry, using new technology, AI and machine learning to innovate in risk.
Key Accountabilities:
Enhancing risk management at a strategic and operational level.
Design and review processes for risk management.
Provide input on risk issues
Development of risk policies/frameworks on new products, services, collateral, and capital.
Continually enhance margin methodologies, stress testing, liquidity and capital.
Building risk infrastructure to facilitate advanced quant work.
Prepare reports on risk for board/shareholders.
Position Deliverables:
Establish risk management policies
Ensure the adequacy of financial protection for markets
Ensure that the firm has the risk/quantitative tools available to manage risk.
Benchmark risk practices to new regulatory developments and industry best practices
Maintain good relationships with regulator, obtain support/approval of the new risk framework
Ideal Candidate Profile:
Bachelor, MSc or PhD in computer science, engineering, mathematics or statistics.
10 years of progressive development and experience in quant/financial risk
Strong quantitative skills including experience of Python and using big data.
Able to predict how models, algorithms, code and architecture scale as throughput increases.
Work with a modern tool stack and motivate and drive other team members towards.
Knowledge of databases, code control, documentation practices, coding, testing, deployment, validation etc.
Candidates must be able to demonstrate knowledge of risk concepts such as computing VaR, how market risk applies to different types of financial institutions, calculating expected shortfall, etc.
A mathematical mindset is mandatory, and the hiring manager will test on simple math problems and how to program algorithms to answer them.
Candidates must have a curious mindset, be interested in solving problems, and confident to innovate, approaching standard methodologies in new ways.
Salary:
To SG$192k base salary (bonus around 2.5-3.2 months)