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Commodity Market Risk Analyst

Richard James Recruitment

London

On-site

GBP 40,000 - 60,000

Full time

Today
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Job summary

A global Commodity trading company is seeking a Market Risk Analyst in London to manage risk reporting and provide quantitative analysis across financial commodities. The role demands strong analytical skills and expertise in risk methodologies, alongside collaboration with international teams and implementation of new risk frameworks.

Qualifications

  • 1-3 years of experience in Market Risk or related fields.
  • Proficiency in Python and understanding of financial products.
  • Background in Mathematics, Computer Science or Engineering.

Responsibilities

  • Perform risk valuations, statistical analysis, and reporting.
  • Monitor internal Risk Frameworks and engage with traders daily.
  • Automate reports in Python and assist in developing reporting capabilities.

Skills

Quantitative Analytics
Risk Metrics Understanding
Statistical Analysis
Python
Model Validation

Education

Degree in Mathematics, Computer Sciences, Physics or Engineering

Tools

Microsoft Office
Power BI
VBA
SQL

Job description

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Our client is a truly global Commodity trading company who trade both physical and financial commodities including, Gas & Power, Oil, Metals, and Agricultural products, and more…

The successful candidate will be responsible for the daily reporting, monitoring and enforcement of Risk Capital allocation of all trades emanating from the EMEA region. Gaining an in-depth understanding of key risk drivers, portfolio concentration, trader/strategy performance and articulate/escalate them to senior management. The candidate is expected to have a strong understanding of various risk measures, their methodologies as well as financial and commodity product knowledge.

Responsibilities also include documentation of the current processes as well as streamlining the daily reporting tasks, implementation of new Risk Frameworks as well as qualitative and quantitative reviews of the risk methodologies employed. Assisting and engaging with project work, rolling out enhanced capabilities, migrating reports to Risk Portal, trader onboarding, curve and product roll out are all part of their essential duties.

The candidate should have the ability to look beyond specific tasks and ask questions relevant to their role and demonstrate the use of sound judgment in decision making.

MAIN RESPONSIBILITIES:

  • Perform risk valuations, statistical analysis for relevant risk measures as well as the production and distribution of reports.
  • Understanding key concentration risk within the portfolios and engaging with traders on a daily basis.
  • Escalation of any limit breaches to traders and senior management, with timely follow ups until resolution.
  • Daily enforcement and monitoring of internal Risk Frameworks, Policies and performing 2nd lining duties.
  • Enhance established control frameworks as well as simplifying and standardizing the reporting function.
  • Work in tandem with Middle Office, highlighting key P&L drivers and the performance of various strategies employed.
  • Assist in the development of new or improvement of existing models, processes, and reports, with periodic quantitative and qualitative reviews.
  • Automate reports in Python and assist in developing the Risk Portal’s reporting capabilities.
  • Identification of modelling weaknesses, remediation proposals along with testing and validation.
  • Documentation of current infrastructure, methodologies and BAU processes and assist in the development and documentation of the future target state.
  • Work in close collaboration with other regional offices in Singapore, Dubai, Geneva and New York.
  • Stay abreast of market developments, regulatory changes and ensure all risks are captured, monitored, and reported.

REQUIREMENTS:

  • 1-3 years of experience in Market Risk, Quantitative Analytics or Model Validation from an Investment Bank, Trading House or other Financial Institutions.
  • Minimum 2:1 Ideally in Mathematics, Computer Sciences, Physics or other Engineering degree.
  • Understanding of risk metrics and their methodologies such as VaR, SVaR, ES, Stress Testing, Liquidity Risk and Funding Risk.
  • Financial product knowledge, Greeks, Options and Commodities with a focus on European Gas, Power, LNG, Crude and Distillates.
  • Proficiency in Microsoft Office in particular, MS Word, Excel, Power Point and Power BI.
  • Advanced Proficiency in: Python (essential), VBA and SQL.
  • Data Vendors: Bloomberg, Morningstar and Totem desirable but not essential.
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