At a Glance
- Tasks: Create and enhance quantitative models for pricing in commodities using MATLAB, Python, and SQL.
- Company: Join a leading firm focused on innovative risk analysis in the commodities market.
- Benefits: Enjoy health coverage, flexible time off, and continuous learning opportunities.
- Other info: Work remotely in a collaborative environment with great career growth potential.
- Why this job: Make an impact in the dynamic world of commodities while developing your analytical skills.
- Qualifications: Advanced degree preferred; experience in commodity analysis and programming is essential.
The predicted salary is between 50000 - 70000 £ per year.
Responsibilities
- Develop quantitative models for new forward pricing points in illiquid locations and commodities using MATLAB, Python, SQL.
- Maintain, enhance, and validate existing forward curve models while ensuring internal and external methodologies remain current.
- Ensure accurate and timely daily publication of forward curves.
- Respond to client requests and inquiries with supporting data and other insights.
- Collaborate with internal stakeholders to support ongoing product enhancements.
- Serve as backup coverage for other global team members as required.
Qualifications
- Advanced degree preferred in similar fields. Minimum BA/BS in Physics, Economics, Finance, or Engineering.
- Proven work experience performing commodity quantitative or market analysis in one or more of the following markets: Crude Oil; Refined Products; Electricity; Natural Gas; LNG.
- Regional commodity experience from Europe, the Middle East, or Asia.
- Experience with risk management, forward curves, and/or volatility is essential.
- Experience using scientific programming (MATLAB/Python/R/SAS), SQL databases, and MS Excel.
- Displays well-rounded communication skills that implement good listening techniques, a clear, concise writing style, and good verbal skills.
- Works well in a team environment, focusing on collaboration and adapting to the needs of a diverse team.
- Adept at managing multiple tasks and adhering to regular deadlines, able to adjust priorities throughout the day.
- Self-starter required; you will be working remotely and must diligently pursue tasks and manage priorities.
- The ideal candidate will be comfortable developing quantitatively derived forward curves in collaboration with other experts and implementing them in a daily, high-availability environment with little direct supervision.
Benefits
- Health & Wellness: Health care coverage designed for the mind and body.
- Flexible Downtime: Generous time off helps keep you energized for your time working.
- Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
- 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.
- Family Friendly Perks: Our perks extend to partners and children, with best‐in‐class benefits for families.
- Beyond the Basics: From retail discounts to referral incentive awards, small perks can make a big difference.
Quantitative Risk Analyst in Westminster employer: S&P Global Inc.
As a Quantitative Risk Analyst at our company, you will thrive in a dynamic and supportive work culture that prioritises employee well-being and professional growth. With generous health benefits, flexible downtime, and continuous learning opportunities, we empower our team to excel while maintaining a healthy work-life balance. Our commitment to innovation and collaboration ensures that you will be part of a forward-thinking team dedicated to making a meaningful impact in the commodities market.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Risk Analyst in Westminster
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend relevant meetups or webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative models or any relevant projects you've worked on. This is a great way to demonstrate your expertise in MATLAB, Python, and SQL to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with risk management and forward curves, and think of examples that highlight your teamwork and communication abilities.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it’s a straightforward way to ensure your application gets into the right hands.
We think you need these skills to ace Quantitative Risk Analyst in Westminster
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Quantitative Risk Analyst role. Highlight your experience with MATLAB, Python, and SQL, and don’t forget to mention any relevant market analysis you've done in commodities like Crude Oil or Natural Gas.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about quantitative analysis and how your skills align with our needs. Be sure to mention your ability to collaborate and adapt in a team environment.
Showcase Your Communication Skills:Since communication is key in this role, make sure your application reflects your clear and concise writing style. Whether it's your CV or cover letter, keep it professional yet approachable, just like we do at StudySmarter!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get you on our radar quickly. Plus, you’ll find all the info you need about the role there!
How to prepare for a job interview at S&P Global Inc.
✨Know Your Numbers
Brush up on your quantitative skills and be ready to discuss specific models you've worked on. Be prepared to explain how you developed forward pricing points and the methodologies you used, especially in MATLAB or Python.
✨Showcase Your Experience
Highlight your experience in commodity markets, particularly in crude oil, natural gas, or electricity. Share examples of how you've handled market analysis and risk management, and be ready to discuss any regional expertise you have.
✨Communication is Key
Demonstrate your communication skills by being clear and concise in your responses. Practice explaining complex concepts in simple terms, as you'll need to collaborate with diverse teams and respond to client inquiries effectively.
✨Be a Self-Starter
Since this role involves remote work, show that you're a self-motivated individual. Discuss how you manage your time and priorities, and provide examples of how you've successfully completed tasks independently while meeting deadlines.
