At a Glance
- Tasks: Join our team to build innovative trading and risk models for commodities.
- Company: Dynamic firm in London focused on commodities risk management.
- Benefits: Competitive salary, collaborative culture, and opportunities for professional growth.
- Other info: Exciting projects with a focus on innovation and teamwork.
- Why this job: Make a real impact in the commodities market with your quantitative skills.
- Qualifications: 10+ years in quantitative roles with strong programming skills in Python and SQL.
The predicted salary is between 90000 - 110000 £ per year.
We are looking for an outstanding Quantitative Researcher to join our Commodities Risk Management team reporting to the Head of Commodities Risk Analytics and Risk Advisory. The Commodities Quantitative Researcher will partner with the risk and investment teams to build Commodity trading and risk models to help grow the business.
Responsibilities Include:
- Formulate and implement pricing models for complex commodity derivatives and structured transactions.
- Formulate and implement models for risk analysis of commodity products and derivatives, such as methodologies for constructing term structures and volatility surfaces.
- Improve and extend existing risk reporting tools, including risk analysis, P&L attribution, and portfolio construction, with focus on both regular periodic reporting and ad-hoc requests.
- Develop methodologies and procedures to conduct historical and hypothetical stress testing, as well as analysis of the results using standardized statistical metrics.
- Work with Risk Management to configure and calibrate risk systems.
- Apply quantitative methods to solve risk topics, such as estimating market liquidity and liquidation costs.
- Contribute to overall risk management team at BAM in risk analytics, processes, and reporting. This may involve ad-hoc risk analysis for portfolios that are not commodities-focused or investigation of impact of a commodities-focused portfolio to the overall risk of the firm.
- Contribute to Global Risk Committee’s understanding of risk drivers and considerations in related markets.
- Work with the technology team to automate, maintain, and enhance integration of research and reporting solutions into the existing infrastructure.
- Work with risk management to onboard new portfolios and products.
Requirements:
- 10+ years of experience as a commodities quant, strategist, or quantitative risk officer, at a hedge fund, bank, commodity trading house, or utility.
- Strong academic background (masters/doctorate) in quantitative fields such as math, physics, engineering, statistics, economics, or finance.
- Skilled in valuing and modeling physical commodity assets and structured transactions, such as gas or oil storage, power tolls, transmission, etc.
- Skilled in providing quantitative modelling and trading risk support to manage complex financial commodities trading portfolios, including analytics for portfolio optimization and construction.
- Experience with as many of the following commodities (across different geographical locations) as possible: electricity, congestion markets, natural gas, crude oil, oil products, energy assets, agricultural commodities, structured transactions, shipping.
- Experience with seasonality in commodities risk models.
- Strong programming skills in Python and SQL. Must be familiar with numeric libraries such as pandas, numpy, etc.
- Strong problem-solving skills.
- Enjoy working in a collaborative environment and able to communicate complex ideas clearly.
Nice to have:
- Advanced Python knowledge including management of virtual environments, release process, or multi-processing.
- Experience developing Plotly Dash dashboards and other data visualization tools.
- Experience working at a hedge fund or other asset management firms with exposure to systematic futures strategies or factor model analytics.
- Experience with fundamental modelling.
- Experience with factor analysis, PCA, decomposition models for P&L and risk, machine learning.
Commodities Senior Quantitative Researcher in London employer: Balyasny Asset Management
Balyasny Asset Management (BAM) is an exceptional employer located in the vibrant city of London, offering a dynamic work culture that prioritises employee engagement and professional growth. With a commitment to attracting top talent, BAM provides its associates with the tools and opportunities necessary to excel in their careers, fostering an environment where innovation and collaboration thrive. Employees benefit from a global team structure, exposure to diverse equity strategies, and the chance to contribute to meaningful projects that drive operational excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Commodities Senior Quantitative Researcher in London
✨Tip Number 1: Tap Into Professional Networks
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Make it a mission to attend finance-related events and conferences, even virtual ones! This is a golden opportunity to network face-to-face with people from companies like Balyasny Asset Management. You never know who might be your next boss or a crucial contact!
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Consider writing articles or sharing insights related to financial controlling or industry trends. Publish these on platforms like LinkedIn to establish yourself as a knowledgeable player in the field. This not only increases your visibility but also catches the attention of recruiters from Balyasny Asset Management.
✨Tip Number 4: Apply Directly on Company Websites
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We think you need these skills to ace Commodities Senior Quantitative Researcher in London
Some tips for your application 🫡
Show Off Your Numbers Game:In financial controlling, detail is everything! Make sure your CV showcases your proficiency with numbers—highlight any relevant experience in budgeting, forecasting, or working with financial software. Quantifying your past achievements will make you stand out, so don’t be shy about flaunting those impressive percentages or cost savings you've implemented.
Tailored Cover Letter is Key:Your cover letter is a chance to shine, especially for a full-time role. Use it to express your genuine interest in Balyasny Asset Management and the specific impact you hope to make in financial controlling. Mention any relevant qualifications or experiences that align with the company’s goals, and don’t forget to show that you're ready for a long-term commitment!
Certifications Matter:List relevant certifications such as ACCA or CIMA on your CV. These qualifications not only showcase your dedication to the field but also your technical competence in financial principles. If you have any ongoing training or courses, make sure to mention those as well to demonstrate your commitment to continual learning in financial controlling.
Don’t Overlook Soft Skills:While numbers are crucial, so are those soft skills! Financial controllers need strong communication and analytical reasoning abilities. We recommend embedding examples of these skills in your CV and cover letter, like how you’ve successfully delivered financial reports to stakeholders or collaborated with teams to improve processes. Let’s show Balyasny Asset Management how you can be a team player!
How to prepare for a job interview at Balyasny Asset Management
✨Brush Up on Technical Skills
Make sure you're comfortable with key financial concepts, especially around forecasting, budgeting, and variance analysis. Sometimes, interviewers may throw in technical questions or case studies, so practicing these types of scenarios will help you shine!
✨Showcase Your Financial Acumen
If you've had experience with specific financial software like SAP or Oracle, make it known! Be ready to discuss how you used these tools to improve processes or reporting, as this hands-on knowledge can really set you apart in a full-time role with Balyasny Asset Management.
✨Know Your Numbers
In full-time interviews, especially in financial controlling, be prepared for numerical reasoning tests or questions. Brush up on your mental maths and understand how to interpret and analyse financial statements on the spot, as this may come up during the assessment.
✨Connect with Company Goals
Familiarise yourself with Balyasny Asset Management's financial objectives and any recent developments. During the interview, try to weave your understanding of their business model and challenges into your answers—this shows your genuine interest and alignment with their goals!
