Quantitative Credit Risk 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 with a platform to trade across all key markets (North America, Europe, Middle East, Africa and Asia). JERAGM is a joint venture between majority shareholder JERA Inc. (JERA) and EDF Trading.

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

The commercial hub of the company is in Singapore, with offices located in Japan (Tokyo), the UK (London) and the US (Baltimore).

DESIGNATION : Quantitative Credit Risk Analyst, SG

RESPONSIBILITIES

**Position Description**

Within JERAGM, the Credit function is responsible for all aspects of credit risk management including pre-deal counterparty assessments, counterparty Know-Your Customer (KYC) and sanctions checking, contractual and credit support negotiations, portfolio credit exposure management (including mitigation), credit pricing valuation, default probability assessments, and credit risk capital assessments.

As a global trading business, JERAGM has counterparty exposure in Asia, EMEA, the U.S., and Latin America. The quality of our counterparties ranges from large, listed utilities and global trading companies to small, single ship owning organisations. Trading relationships range from bilateral commodity sales and purchases to complex structured transactions with SPVs (IPPs for example).

The current position will be located in JERAGM’s Singapore headquarters. The Quantitative Credit Analyst will report directly to the Group Credit Risk Manager located in Singapore.

The role will consist chiefly in understanding, quantifying, modelling and reporting credit exposures associated with LNG, Coal and Freight positions across a diverse portfolio of counterparts. The Quantitative Credit Analyst will actively lead and contribute to the further development and implementation of quantitative models and systems. The Quantitative Credit Analyst 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, Valuation and Middle-Office teams.

**Key Role Responsibilities**

As part of the Credit & KYC team, the Quantitative Credit Analyst will be responsible for:

- Monitoring, understanding, managing and reporting counterparty credit exposures (individual and portfolio) on daily basis to ensure trading activity remains within approved limits;
- Modelling and quantifying potential future credit exposure of new plain-vanilla or structured transactions;
- 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.

QUALIFICATIONS

**Key Qualifications and Experience**

**Experience**
- Around 3-5 years of experience in a quantitative position gained within a commodities trading environment or financial institution;
- Experience with key concepts of Potential Future Exposure, X-Value Adjustment and/or Credit Value-at-Risk will be a strong advantage.
- Professional experience with energy products, particularly Coal, Drybulk freight, LNG and/or LNG freight, will be a strong advantage but not essential;
**Technical**
- Educated to degree level or equivalent professional qualification with strong mathematical, computer science or engineering background;
- Excellent quantitative skills;
- Strong working knowledge of Excel and proficient knowledge of VBA language coding.
- Proficient knowledge of Power BI, Python or other coding languages would be 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.

**Person Specification**
- Organised and accountable;
- Being capable to work autonomously is important but also must function as part of a team;
- Able to work within strict deadlines, to respond to changes in priorities within a fast-paced environment;
- Confident personality with the ability to summarise and communicate complex and technical structures to all audienc