At a Glance
- Tasks: Analyse cross-commodity markets and develop actionable trade ideas.
- Company: Dynamic investment firm with a focus on innovation and growth.
- Benefits: Competitive pay, performance bonuses, and comprehensive benefits.
- Other info: Opportunities for career development in a fast-paced environment.
- Why this job: Join a supportive team and make an impact in the commodities market.
- Qualifications: 5+ years in commodities research, strong analytical and Python skills.
The predicted salary is between 75600 - 92400 £ per year.
Department: Investment Professionals
Experience Level: Experience Professionals
Contact: Loretta Lam Job ID: REQ8437Overview Support an investment team by developing cross-commodity views across gas, oil, metals, and related markets.
The role will focus on identifying structural themes, relative-value opportunities, and macro-driven dislocations, supported by supply-and-demand analysis and fundamental research.
Responsibilities Develop cross-commodity market views including gas, oil, metals.
Identify structural investment themes, relative-value opportunities, and links between commodity markets, macroeconomic drivers, and geopolitics.
Build and maintain targeted supply-and-demand balances, price frameworks, and market dashboards.
Analyse inventories, production, trade flows, refinery economics, power demand, positioning, and market structure.
Generate actionable trade ideas across outright, spreads, curves, and inter-commodity relationships.
Build Python- and Excel-based research tools, datasets, and signals.
Requirements5+ years of experience in cross commodities research or investment analysis.
Familiarity with energy and metals markets; cross-commodity perspective required.
Ability to combine fundamental analysis with macro, positioning, and market-structure analysis.
Strong quantitative and modelling skills, including Python.
Experience building supply-and-demand balances and translating analysis into trade-relevant conclusions.
Clear written communication, commercial judgement, and the ability to work in a fast-paced investment environment., Degree in economics, finance, engineering, maths, or a related quantitative discipline.
Preference of being based in Zug What We Offer Competitive compensation, inclusive of performance-based bonuses.
Comprehensive benefits package.
Pathways for professional growth and career development.
A dynamic and supportive work environment where innovation and creativity are encouraged.
Opportunity to be part of building a great business where your efforts are recognized and valued.
Cross Commodities Analyst – Geneva/ Zug in London employer: Balyasny Asset Management
As a Cross Commodities Analyst based in Zug, you will thrive in a dynamic and supportive work environment that values innovation and creativity. The company offers competitive compensation, a comprehensive benefits package, and clear pathways for professional growth, making it an excellent employer for those looking to make a meaningful impact in the investment sector. Join a team where your contributions are recognised and valued, and be part of building a great business in a vibrant location.
StudySmarter Expert Advice🤫
We think this is how you could land Cross Commodities Analyst – Geneva/ Zug in London
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We think you need these skills to ace Cross Commodities Analyst – Geneva/ Zug in London
Some tips for your application 🫡
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Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to Balyasny Asset Management.
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How to prepare for a job interview at Balyasny Asset Management
✨Brush Up on Financial Analysis Skills
Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with Balyasny Asset Management.
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