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Open nowPosted 21 days ago

Senior Quant Analyst (Contract/ Secondment)

MyCareersFuture94,028 open roles

Pay
SGD 8,000 – SGD 15,000 a month
Where
Central, Singapore
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Your applicationOpen nowSenior Quant Analyst (Contract/ Secondment)MyCareersFuture · Central, Singapore
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This job: posted 21 days ago

The posting

This position is ideal for a quantitative professional with strong numerical aptitude and good communication skills, who is able to perform under pressure in a front office environment.

The successful applicant will contribute to the modelling, analysis and pricing requirements of the various SEFE Trading desks. The successful candidate will work alongside other members of the team to deliver timely and accurate analysis to key stakeholders. The role involves liaising with various stakeholders such as Traders, Originators and Developers.

What you'll do

- Working with Traders, Structured Traders and Originators contributing to the structuring and pricing of complex deals.

- Performing ad-hoc analysis as necessary to support ongoing pricing / trading activity

-Take joint responsibility for the upkeep and maintenance of the team's library ( Python), driving performance improvements alongside capability enhancements via collaboration tools (Github)

-Assisting traders in the development of trading & hedging strategies around the portfolio. Primarily involving the hedging of non-linear exposures using derivatives modelling principles.

-Collaborate effectively with Traders and Structured Traders to strengthen understanding of commodity markets dynamics and apply the knowledge to improve the focus and the quality of the analysis.

-Working closely with the other quants/ developers to make use of and expand the model library.

-Develop and extend models to improve portfolio risk management, increase types of products traded and enhance processes leading to boost company performance.

What you will bring to the role

- Outstanding ability for quantitative problem solving sustained by string foundations in maths/stats

-Solid enthusiasm for commercially-driven problem solving

-Ability to work independently from formalization of the problem to delivery and presentation of the solution.

-Strong commercial acumen, combined with an understanding of financial risk and option value

-Ability to communicate complex issues in a clear, understandable manner to customer facing units

-Ability to work under pressure and to tight deadlines in a trading environment

-Ability to explain and justify the methodology used in the development of quantitative tools

-Knowledge of global gas markets in particular LNG is essential

-Should be capable of developing a good understanding of market dynamics and modelling methods and apply to real world transactions

- Python programming experience and knowledge of numpy, cripy and pandas is essential

-Experience using git. Understands the workflow when using distributed source control in a shared code base

-Experience of coding in a shared environment

-Effective written and verbal communication skills, fluency in English ( verbal and written) is essential

-Experience in a commodity or financial trading environment be an advantage

-Prior experience in risk/financial modelling would be an advantage

-Degree level (or equivalent ) education in a highly quantitative subject

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