Quantitative Risk Analyst Career - Job Description and Expectations

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As a Quantitative Risk Analyst, you'll be responsible for identifying and assessing potential risks that could impact a company's financial health. This involves analyzing data and using statistical models to predict future outcomes.

Your day-to-day tasks will likely include reviewing financial reports, analyzing market trends, and developing risk management strategies. You'll work closely with other departments to ensure that risk mitigation plans are implemented effectively.

To succeed in this role, you'll need strong analytical and problem-solving skills, as well as excellent communication and collaboration skills. You'll also need to stay up-to-date with changing market conditions and regulatory requirements.

A typical Quantitative Risk Analyst will have a bachelor's degree in a field such as mathematics, statistics, or finance, and several years of experience in a related field.

Job Requirements

To be a successful quantitative risk analyst, you'll need to have a solid understanding of the job requirements.

A quantitative risk analyst typically starts by listing detailed duties and responsibilities, which can be found in a job description template.

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To write an effective job description, you should include sample responsibilities such as analyzing data to identify potential risks, developing models to quantify and mitigate those risks, and communicating findings to stakeholders.

Quantitative risk analysts must have strong analytical and problem-solving skills to identify and assess potential risks.

They should also be able to communicate complex ideas in a clear and concise manner to both technical and non-technical audiences.

A quantitative risk analyst's work is often project-based, requiring them to work independently and as part of a team to achieve goals.

Education and Skills

To become a quantitative risk analyst, you'll typically need to have a relevant degree, such as a Master's or Bachelor's Degree in Mathematics, Statistics, Finance, Engineering, Physics, Economics, Sciences, Management, Computer Science, or Quantitative Finance.

Employers often look for candidates with a strong foundation in math and statistics, so a degree in one of these fields can be a great starting point.

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A Master's degree is often preferred, but a Bachelor's degree can also be sufficient, depending on the company and the specific job requirements.

In addition to education, having relevant skills and experience is also essential for a quantitative risk analyst role.

Desired skills for a quantitative risk analyst include, but are not limited to, experience in data analysis, statistical modeling, and risk management.

To give you a better idea, some of the licenses or certifications required for this role include FRM, CFA, PRM, CQF, PMP, CPA, ISA, QSA, CISA, and CISM.

Job Overview

As a Quantitative Risk Analyst, you'll be working in the Global Risk department, specifically in the Power division. This role is based in Houston and involves overseeing global and US energy markets, with a focus on TotalEnergies' growing power business.

The job holder will report to the Middle Office Supervisor and Head of Risk Control, both located in Houston. You'll be working closely with a team of Middle Officers, supporting their analysis of mark-to-market valuations, risk positions, and P/L results on a daily basis.

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Your primary responsibility will be to measure, analyze, and monitor the P&L, Risk Exposure, and Risk Metrics, including Value At Risk of the Trading Desks. This involves developing and implementing quantitative risk models and metrics for TGPNA's trading function.

As a Quantitative Risk Analyst, you'll be working with various teams, including Front Office, Operation, Back Office, Finance, Credit, Legal & Compliance, and Business Unit Control. Your role will involve ensuring best control practices, operational efficiency, and policy/limit compliance.

Some of the key activities you'll be responsible for include:

  • Developing and implementing quantitative risk models and metrics for TGPNA's trading function.
  • Assessing and monitoring physical and financial trades, various products, and instrument types.
  • Working closely with Traders to quantify and explain the sources of risk in their portfolios.
  • Conducting risk reporting/analytics to communicate position, P/L, and market risk to traders and management.

Overall, the Quantitative Risk Analyst - Power position requires a strong understanding of risk assessment, analysis, and modeling, as well as excellent communication and collaboration skills.

Candidate Profile

As a quantitative risk analyst, you'll need to have a strong foundation in math and stats. A degree in mathematics, statistics, physics, economics, engineering, or quantitative finance is a must.

To excel in this role, you'll typically need 3-5 years of experience in energy analysis. This experience will help you develop the skills needed to create complex models and make informed risk assessments.

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Developing commodity-related models is a key part of this job. You'll need to be familiar with models like discounted cash flow, storage, transmission, power generation, and congestion analysis.

A master's degree is strongly preferred for this role, so if you're just starting out, you may want to consider furthering your education.

Risk management methodologies and valuation models are also crucial skills for a quantitative risk analyst. You'll need to have a comprehensive understanding of these concepts and be able to apply them in real-world scenarios.

In addition to technical skills, you'll also need to have good interpersonal skills and be able to work well under pressure. Your ability to make risk assessments and apply risk metrics around congestion activity will be essential to success in this role.

Here are some of the key skills and qualifications you'll need as a quantitative risk analyst:

  • Degree in mathematics, statistics, physics, economics, engineering, or quantitative finance
  • 3-5 years of energy analysis experience
  • Proficiency in data science programming languages like Python or R
  • Comprehensive understanding of risk management methodologies and valuation models
  • Ability to make risk assessments and apply risk metrics around congestion activity
  • Dependability and flexibility with regards to working hours
  • Good interpersonal skills

Krystal Bogisich

Lead Writer

Krystal Bogisich is a seasoned writer with a passion for crafting informative and engaging content. With a keen eye for detail and a knack for storytelling, she has established herself as a versatile writer capable of tackling a wide range of topics. Her expertise spans multiple industries, including finance, where she has developed a particular interest in actuarial careers.

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