About 10 years of experience and a right blend of skills required for risk modelling, risk analytics, risk software implementation and software programming.
He / she must demonstrate hands-on experience of developing risk models or quantitative risk analytics with a thorough understanding of the financial products of retail banking, corporate banking and capital markets gained by working within risk, finance or treasury functions of a large bank.
The candidate must have at least one year of experience implementing liquidity risk solution from a leading vendor such as Algorithmics, Sunguard etc.. Working knowledge of Algorithmics’ RiskWatch is highly preferred.
The candidate must have theoretical knowledge of basic financial / valuation models for bonds and swaps. The candidate must be able to model the cashflows of various financial products as well as provide ideas of creating shocks and scenarios for stress testing.
Working knowledge of regulatory requirements of Basel, FSA and / or OSFI for credit, market, operational or liquidity risk is required. The candidate must demonstrate an experience of at least one end-to-end implementation, preferably Basel 2 or Basel3.
At least 3 years of IT experience involving system implementation, programming and / or software product development is required. The candidate must be able to write the data extraction specifications and create database structures for efficient data storage and liquidity computations. The job will also involve testing the data extracts, creating workarounds for data gaps, testing the reports and final figures.
Knowledge of complex financial instruments such as derivatives, repurchase agreements, securitization products, leasing, fixed income and various financial securities will be an asset.
The candidate must have excellent communication skills and financial / risk expertise to conduct meetings with senior members of Group Treasury, Finance and Group Risk Management.
Consideration will be given to candidates with an appropriate combination of a Bachelor's degree in a quantitative discipline (finance, economics, engineering or mathematics) with significant experience measuring / managing at least one financial risk type, preferable liquidity risk.