At a Glance
- Tasks: Develop and optimise mathematical models for trading in diverse commodity markets.
- Company: Join a top-tier macro hedge fund in London with a collaborative culture.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with excellent career advancement opportunities in a fast-paced environment.
- Why this job: Make a real impact on investment decisions using advanced quantitative research.
- Qualifications: Master’s or PhD in a quantitative field and strong programming skills required.
The predicted salary is between 60000 - 80000 £ per year.
Camber Morris are looking for a brilliant Commodity Quantitative Analyst to join a top tier macro hedge fund in London.
Joining our elite macro hedge fund team in London, you will step into a high-impact role where your mathematical models and systematic strategies will directly drive investment decisions.
Operating on a hybrid model that balances collaborative in-office strategy sessions with remote focus time, this permanent position offers the chance to sit at the absolute intersection of advanced quantitative research and real-world macroeconomic shifts.
Key Responsibilities
- Model Development & Optimization: Design, build, and implement sophisticated mathematical models to price, analyse, and trade across a diverse range of commodity markets (energy preferred).
- Alpha Generation: Formulate, backtest, and refine systematic trading strategies, translating complex data sets into highly profitable, risk-adjusted trading signals.
- Alternative
- Data
Exploration: Source, clean, and structure non-traditional data sets—such as shipping telemetry, satellite imagery, and weather patterns—to gain a predictive edge in physical commodity flows.
- Portfolio
- Risk
Analysis: Collaborating closely with portfolio managers, develop robust risk management frameworks to stress-test positions against macroeconomic shocks and liquidity constraints.
- Infrastructure
Advancement: Enhance Camber Morris's proprietary quantitative research platform, ensuring our codebase is scalable, fast, and optimised for real-time market analysis.
- Required Skills & Experience
- Advanced Academic Background: A Master’s degree or Ph D in a highly quantitative discipline, such as Mathematics, Physics, Quantitative Finance, or Computer Science.
- Programming
Mastery: Exceptional coding skills in Python, C++, or R, with a proven track record of writing clean, production-grade code and utilising advanced data science libraries.
- Commodities
Expertise: At least 3 years of experience as a quantitative analyst within a hedge fund, proprietary trading firm, or investment bank, with a deep understanding of commodity derivatives, curves, and physical market dynamics.
- Statistical Rigor: Strong knowledge of time-series analysis, machine learning algorithms, and stochastic calculus applied to financial markets.
- Analytical Mindset: A sharp, detail-oriented approach to problem-solving, with the ability to articulate complex quantitative concepts to non-technical stakeholders.
- Nice-to-Have
- Prior experience working specifically within a global macro investment mandate.
- Familiarity with cloud computing environments (AWS or GCP) and handling massive, unstructured data pipelines.
- Knowledge of global regulatory frameworks impacting physical and derivative commodity trading
Commodity Quantitative Analyst in Victoria employer: We Love Alfa
We Love Alfa is an exceptional employer that fosters a collaborative and innovative work culture, perfect for a Strategic Financial Controller looking to make a significant impact. With a focus on employee growth and development, we offer competitive salaries and opportunities to influence senior leadership decisions, all while being part of a forward-thinking team dedicated to driving business growth in a dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Commodity Quantitative Analyst in Victoria
✨Tap into Campus Networks
If you're still in uni, don’t forget to engage with your campus's career services and attend finance-related events. Banks often do presentations and recruitment drives on campus, so put yourself out there and make use of these opportunities to show off your passion for the field.
✨Get Certified
Consider pursuing relevant certifications like the CFA or ACCA while you’re job hunting. They not only beef up your CV but also connect you with professional bodies which can lead to networking opportunities and even job openings in banking and financial services.
✨Connect on Professional Platforms
Join finance-focused groups on platforms like LinkedIn and engage in discussions. This can really help you stand out from the crowd, allowing potential employers to see your knowledge and interest in industry trends. Plus, you might stumble upon job postings shared exclusively within the group.
✨Apply Directly and Be Proactive
Don’t shy away from reaching out directly to firms like We Love Alfa. Use their websites and apply through them, but also consider following up with a polite email to express your enthusiasm. Being proactive can make a huge difference in getting noticed in the competitive financial services sector.
We think you need these skills to ace Commodity Quantitative Analyst in Victoria
Some tips for your application 🫡
Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.
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 We Love Alfa.
Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.
Research and Reflect:Before hitting that 'apply' button on We Love Alfa's website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!
How to prepare for a job interview at We Love Alfa
✨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 We Love Alfa.
✨Prepare for Case Studies
Expect to tackle case studies that demonstrate your problem-solving skills in real-world banking scenarios. Familiarise yourself with the types of problems you might face—think risk assessments or investment evaluations—and be ready to articulate your thought process clearly.
✨Show Your Passion for Finance
Since this is a full-time position, employers at We Love Alfa will be keen to see your genuine interest in finance. Be prepared to discuss recent industry trends or news articles that excite you, showcasing your enthusiasm and engagement with the field.
✨Network with Industry Professionals
Before your interview, reach out to current or former We Love Alfa employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.
