Quantitative Analyst, Sg

COMPANY DESCRIPTION

**About the Company**

JERA Global Markets (JERAGM) is a leading utility-backed seaborne energy trader specialising in LNG, Coal and Freight. A joint venture between majority shareholder JERA Co., Inc. and EDF Trading, JERAGM’s shareholders are among the world’s largest utilities.

JERAGM operates one of the largest energy portfolios in the world which gives it an in-depth understanding of the way local, regional and international energy markets behave. These insights enable it to help its customers increase security of supply, optimise their portfolios and improve the risk management of their assets.

JERAGM LNG team manages the flexibility of over 35 million tonnes of supply each year, with structural access to both the European and North American gas markets. The coal team manages 60 million tonnes of supply each year for its shareholders and third-party customers and operates a major coal terminal in the Netherlands.

Headquartered in Singapore, JERAGM has a global talent pool of more than 250 people across offices located in four strategic locations: Singapore, Japan (Tokyo), the UK (London) and the US (Baltimore).

JERAGM is strongly capitalised with over US$500 million in paid up capital and a total equity of US$3 billion. JERAGM has retained its A+ Stable rating from R&I, attributable to a robust business model and solid financial base.

DESIGNATION : Quantitative Analyst, SG

RESPONSIBILITIES

**Position Description**

The Models and Valuation group is a centre of quantitative expertise for JERAGM. The group has a broad capability in a wide area of commercial modelling and decision support. This includes deal structuring and valuation, financial engineering, optimisation and decision support analysis. The group gets involved in a wide range of areas across the business supporting both the Front Office and Middle Office functions.

The role will involve close liaison with Middle Offices function providing Quantitative support Market Risk, Credit and Counterparty Risk, Internal Audit and Product Control teams and require interaction across the business to maintain a strong control culture.

**Key Role Responsibilities**
- Support the Credit, Treasury and Market Risk functions with advanced quantitative expertise and modelling, promoting the sharing of knowledge
- Participate into the buildout of an advanced risk and valuation platform for the JERAGM business, including portfolio analysis, VaR and credit modelling.
- Development and implementation of a methodology for the estimation of non-observable market parameters required for complex structured deal valuation.
- Work with other functions (both internal and external) to ensure that valuation methodologies and processes are reviewed and validated
- Provide technical leadership to ensure accurate and appropriate risk identification, measurement and controls process design for the JERAGM portfolio
- Expert support for the JERAGM derivative valuation engine, In particular nonlinear deals both structured and vanilla exchange transactions.
- Build a culture within the group and the JERAGM organisation recognising this group as centre of excellence for technical expertise

QUALIFICATIONS

**Key Qualifications and Experience**

Experience Required
- Experience in risk management within an investment bank or commodity trading company
- Ideally with good knowledge of global commodity markets both physical and derivative products. Specific markets include Global LNG, Coal and Freight markets, also knowledge of associated financial markets such IR and FX is of advantage.
- Leading the development and implementation of a variety of quantitative based solutions to meet business requirements.
- Some understanding of the deal life cycle process particular as related to option transactions, including booking and expiry processes.
- Valuation of structured transactions, including identifying the risks, building a model, of the valuation and hedge parameters, sharing and getting buy-in of the results with the commercial team leading to successful execution

Technical Expertise
- Advanced knowledge of financial derivative and option theory as applied to commodity markets, including
- Stochastic price processes,
- Parameter estimation, and
- Valuation techniques encompassing closed form and monte carlo methods.
- Comfortable with a range of Value at Risk methodologies and related risk measures.
- Understanding of mathematical optimisation techniques such as those used in portfolio analysis and fundamental modelling.
- Highly IT literate proficient in a range of development and scientific languages, such as Python (including numpy and pandas), R or Matlab,
- Experience with a classical development language such as C/C++/C# would be an advantage
- Some experience with the use of and deployment to cloud platforms such as Azure would be helpful.
- Advanced expertise with office productivity tools such as Excel and VBA is expected.

**Person Specif