Risk Analyst I in London

Risk Analyst I in London

London Full-Time 40000 - 50000 € / year (est.) Home office possible
S&P Global

At a Glance

  • Tasks: Develop quantitative models for commodity pricing and respond to client inquiries with insights.
  • Company: Join S&P Global Energy, a leader in energy market intelligence.
  • Benefits: Enjoy competitive pay, health coverage, flexible time off, and student loan contributions.
  • Other info: Be part of a diverse team committed to sustainability and equitable practices.
  • Why this job: Make a real impact in global energy markets while working remotely.
  • Qualifications: Advanced degree preferred; experience in commodity analysis and programming skills required.

The predicted salary is between 40000 - 50000 € per year.

Platts is seeking an experienced Quantitative Analyst for its Commodity Risk Solutions team. We deliver solutions that support commodity risk functions across global energy markets, specializing in quantitatively derived forward curves for markets and periods with limited liquidity.

Responsibilities include:

  • Developing quantitative models for new forward pricing points in illiquid locations and commodities using MATLAB, Python, SQL.
  • Responding to client requests and inquiries with supporting data and other insights.

Qualifications:

  • Advanced Degree preferred in similar fields.
  • Proven work experience performing commodity quantitative or market analysis in one or more of the following markets: Crude Oil; Natural Gas.
  • Experience with Risk Management, forward curves and/or volatility is essential.
  • Scientific Programming (Matlab/Python/R/SAS), SQL databases, and MS Excel.
  • Displays well-rounded communication skills that implement good listening techniques, clear, concise writing style and good verbal skills.
  • Self-Starter required - you will be working remotely from management and must be able to diligently pursue tasks and manage priorities.

About S&P Global Energy:

S&P Global Energy provides a comprehensive view of global energy and commodities markets, enabling customers to make superior decisions and create long-term, sustainable value.

We are committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.

We take care of you, so you can take care of business. Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law.

Risk Analyst I in London employer: S&P Global

At S&P Global Energy, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our commitment to employee well-being is reflected in our comprehensive health and wellness benefits, generous time off, and robust professional development opportunities, ensuring that you can thrive both personally and professionally. Join us in a dynamic remote work environment where your contributions will help shape the future of global energy markets while enjoying the support and resources needed for your success.

S&P Global

Contact Detail:

S&P Global Recruiting Team

StudySmarter Expert Advice🀫

We think this is how you could land Risk Analyst I in London

✨Tip Number 1

Network like a pro! Reach out to folks in the industry, attend webinars, and join relevant groups. The more connections we make, the better our chances of landing that Risk Analyst gig!

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your quantitative models and analyses. This will give potential employers a taste of what we can bring to the table.

✨Tip Number 3

Prepare for interviews by brushing up on common questions related to commodity risk and quantitative analysis. We want to be ready to impress with our knowledge and confidence!

✨Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing familiar names pop up in our system!

We think you need these skills to ace Risk Analyst I in London

Quantitative Analysis
MATLAB
Python
SQL
Commodity Risk Management
Forward Pricing Models
Market Analysis

Some tips for your application 🫑

Tailor Your CV:Make sure your CV is tailored to the Risk Analyst I role. Highlight your experience with quantitative analysis, especially in commodity markets like Crude Oil and Natural Gas. We want to see how your skills align with what we're looking for!

Showcase Your Skills:Don’t forget to showcase your programming skills in MATLAB, Python, and SQL. Include specific examples of projects or tasks where you used these tools to solve problems or analyse data. This will help us see your technical prowess!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about commodity risk solutions and how your background makes you a great fit for our team. Keep it clear and concise, just like we like our data!

Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s straightforward and ensures your application goes directly to us. Plus, we love seeing candidates who take the initiative to follow our process!

How to prepare for a job interview at S&P Global

✨Know Your Numbers

As a Risk Analyst I, you'll be dealing with quantitative models and data analysis. Brush up on your knowledge of forward curves, volatility, and the specific commodities mentioned in the job description. Be ready to discuss how you've applied these concepts in previous roles or projects.

✨Showcase Your Technical Skills

Make sure you highlight your proficiency in MATLAB, Python, SQL, and MS Excel during the interview. Prepare examples of how you've used these tools to solve complex problems or develop models. This will demonstrate your technical capability and readiness for the role.

✨Communicate Clearly

Effective communication is key, especially when responding to client inquiries. Practice explaining complex quantitative concepts in simple terms. This will show that you can convey insights clearly and concisely, which is crucial for this position.

✨Demonstrate Self-Motivation

Since this role involves remote work, it's important to convey your ability to manage tasks independently. Share examples of how you've successfully prioritised and completed projects without direct supervision. This will reassure them that you're a self-starter who can thrive in a remote environment.