At a Glance
- Tasks: Develop quantitative models for commodity risk analysis using MATLAB, Python, and SQL.
- Company: Join S&P Global Energy, a leader in energy market insights and solutions.
- 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 business practices.
- Why this job: Make a real impact in global energy markets while working remotely and independently.
- Qualifications: Advanced degree preferred; experience in commodity analysis and strong programming skills required.
The predicted salary is between 50000 - 70000 € 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:
- Develop quantitative models for new forward pricing points in illiquid locations and commodities using MATLAB, Python, SQL.
- Respond 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:
At S&P Global Energy, our comprehensive view of global energy and commodities markets enables our customers to make superior decisions and create long-term, sustainable value. We are Advancing Essential Intelligence through world-leading benchmarks, data, and insights that customers need in order to plan confidently, act decisively, and thrive economically in a rapidly changing global landscape.
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 in London employer: S&P Global
At S&P Global Energy, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through competitive pay, comprehensive health benefits, and generous time off, ensuring our team members are well-supported both personally and professionally. Join us in a remote role where your expertise in quantitative analysis will contribute to meaningful insights in the global energy market, all while being part of a diverse and inclusive workforce dedicated to advancing essential intelligence.
StudySmarter Expert Advice🤫
We think this is how you could land Risk Analyst in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend webinars, and join relevant groups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative models and analyses. This is your chance to demonstrate what you can do with MATLAB, Python, and SQL – make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to risk management and commodity analysis. Practice explaining your thought process clearly and concisely – communication is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Risk Analyst in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Risk Analyst role. Highlight your experience with quantitative analysis, risk management, and any relevant programming skills like MATLAB or Python. We want to see how your background aligns with what we're looking for!
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 skills can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Communication Skills:Since communication is key in this role, make sure your application reflects your ability to convey complex ideas clearly. Whether it's through your writing style or how you present your experiences, let us see your strong communication chops!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you're proactive and keen to join our team at S&P Global Energy!
How to prepare for a job interview at S&P Global
✨Know Your Numbers
As a Risk Analyst, 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.
✨Showcase Your Technical Skills
Make sure you can demonstrate your proficiency in MATLAB, Python, SQL, and Excel during the interview. Prepare examples of projects where you've used these tools to solve complex problems or develop models. This will show that you're not just familiar with the software but can leverage it effectively.
✨Communicate Clearly
Since the role requires strong communication skills, practice explaining complex quantitative concepts in simple terms. You might be asked to present your findings or insights, so being able to articulate your thoughts clearly will set you apart from other candidates.
✨Be a Self-Starter
The job mentions working remotely and managing priorities independently. Prepare to discuss how you've successfully managed tasks without direct supervision in the past. Share specific examples that highlight your ability to take initiative and stay organised.
