Quantitative Risk Analyst

The Edge Partnership

Early Applicant

Posted a month ago
Be among the first 10 applicants

4-6 Years

Singapore

Banking/Accounting/Financial Services

Job Description

Our client, a global commodities trading company in Singapore is looking for a Quantitative Risk Analyst to join them in Singapore, this role reports to the Head of Credit Risk in Singapore.

The Quantitative Risk Analyst will actively lead and contribute to the further development and implementation of quantitative models and systems. You will be responsible for the quantitative aspect of Credit Risk Management platform and work in close collaboration with the Credit Analysts as well as the Market Risk, Model & Valuation and Middle-Office teams.

Please contact Sophia Lin via email, you can email your cv directlyin word format with job reference no. 000015334 to [Confidential Information]

Please note that due to the high number of applications only shortlisted candidates will be contacted. If you do not hear from us in the next 5 business days we regret to inform you that your application for this position was unsuccessful.

EA Licence: 16S8131

Recruiter Licence: R22104669

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Key responsibilities

Modelling and quantifying potential future credit exposure of new plain-vanilla or structured transactions
Monitoring, understanding, managing and reporting counterparty credit exposures (individual and portfolio) on daily basis to ensure trading activity remains within approved limits
Enhancing and/or developing existing or new quantitative tools and risk frameworks. This includes PFE, CVA and CVaR models implementation and/or improvement in collaboration with Market Risk and Valuation Teams when required
Computing and reporting key credit risk indicators (credit reserves, credit risk capital) to Group Credit Risk Manager, Executive Management and shareholders on a monthly basis
Ensuring that the credit system is operating accurately on a daily basis, ensuring integrity and accuracy of data
Contributing to the enhancement and upgrade of the credit management system, ad-hoc quantitative and IT projects and/or cross department task force to implement best risk management practices.

Role requirements

Around 4 years of experience in a quantitative position gained within a commodities trading environment or financial institution
Educated to degree level or equivalent professional qualification with strong mathematical, computer science or engineering background
Experience with key concepts of Potential Future Exposure, X-Value Adjustment, Credit Value-at-Risk or alternatively Value-at-Risk is needed
Professional experience with energy products, particularly Coal, Drybulk freight, LNG and/or LNG freight, will be a strong advantage but not essential
Strong working knowledge of Excel and proficient knowledge of VBA language coding.
Proficient knowledge of Power BI, Python or other coding languages is a strong advantage
Knowledge of Allegro, Cubelogic or familiarity with other trading ETRM systems is a plus
Fluency in English - both written and verbal - is compulsory