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For Companies At a Glance
- Tasks: Conduct research, develop predictive models, and implement algorithms for trading strategies.
- Company: Global leading quantitative trading firm with a focus on innovation.
- Benefits: Competitive pay, strong benefits, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in global markets with cutting-edge technology.
- Qualifications: Advanced degree in a quantitative field and strong programming skills in Python.
- Other info: Collaborative environment with opportunities in major financial hubs like London and New York.
The predicted salary is between 36000 - 60000 Ā£ per year.
We're partnering with a prominent global quantitative trading firm focused on marketāmaking and systematic strategies across various asset classes. The team applies advanced quantitative methods and technology to develop effective trading solutions in dynamic markets.
This is a handsāon research position suited to strong performers with experience in generating alpha through dataādriven analysis and modelling.
What You'll Work On
- Perform detailed research and statistical analysis and create predictive models for trading signals.
- Work with largeāscale datasets to discover and validate statistical patterns in markets.
- Develop and refine valuation approaches, construct and enhance mathematical and machine learning models.
- Implement complex algorithms into efficient, productionāgrade code.
- Conduct rigorous backtesting and assist with deploying models into live trading systems.
- Collaborate with traders, engineers, and fellow researchers to improve systematic strategies across multiple asset classes.
What We're Looking For
- Advanced degree (Master's or PhD preferred; strong Bachelor's considered) in Mathematics, Statistics, Physics, Computer Science, Engineering, or a related quantitative field.
- Solid expertise in probability, statistics, and quantitative techniques.
- Practical experience with machine learning and deep learning applied to financial or timeāseries data.
- Proven success as a quantitative researcher or analyst, preferably in buyāside quantitative trading or hedge funds (sellāside experience also relevant).
- Strong programming skills in Python (required), with familiarity in analytical tools and/or compiled languages.
- Experience handling large datasets and developing reliable models in a dataāheavy research setting.
- Strong problemāsolving skills, with a track record of independent research and delivering tangible results.
- Clear communication abilities to explain complex concepts effectively.
Preferred Background
- In building automated trading strategies or signals in equities, fixed income, commodities, FX, or other asset classes.
- Exposure to unconventional data sources for alpha generation.
- Experience turning mathematical models into scalable production code for trading systems.
Why Join
- Contribute to advanced quantitative trading strategies operating in global markets.
- Work in a collaborative, meritābased environment with talented researchers and engineers.
- Enjoy competitive compensation, strong benefits, and potential for professional development.
- Be part of a firm focused on innovation and ongoing improvement in quantitative finance.
- Opportunities available in key financial centers (London, New York, and Asia).
If you're a skilled quant with solid ML experience and a demonstrated ability to generate alpha, we'd like to connect! Apply now to schedule a confidential chat with one of our team.
Quant Researcher/Quant Analyst @ Global Leading Firm in London employer: HUG
Contact Detail:
HUG Recruiting Team
StudySmarter Expert Advice š¤«
We think this is how you could land Quant Researcher/Quant Analyst @ Global Leading Firm in London
āØTip Number 1
Network like a pro! Reach out to current employees at the firm through LinkedIn or industry events. A friendly chat can give us insights into the company culture and maybe even a referral!
āØTip Number 2
Show off your skills! Prepare a portfolio of your past projects, especially those involving predictive models or machine learning. We want to see how youāve tackled real-world problems and generated alpha.
āØTip Number 3
Practice makes perfect! Brush up on your coding skills in Python and be ready to solve technical problems on the spot. We might throw some algorithm challenges your way during interviews.
āØTip Number 4
Donāt forget to apply through our website! Itās the best way to ensure your application gets noticed. Plus, it shows us youāre genuinely interested in joining our team.
We think you need these skills to ace Quant Researcher/Quant Analyst @ Global Leading Firm in London
Some tips for your application š«”
Tailor Your CV: Make sure your CV is tailored to the role of Quant Researcher/Analyst. Highlight your experience with statistical analysis, machine learning, and any relevant projects that showcase your skills in handling large datasets.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're the perfect fit for this position. Share specific examples of how you've generated alpha through data-driven analysis and what unique insights you can bring to our team.
Showcase Your Technical Skills: Donāt forget to emphasise your programming skills, especially in Python. Mention any experience you have with algorithms, backtesting, or developing trading strategies, as these are key to the role.
Apply Through Our Website: We encourage you to apply directly through our website. Itās the best way for us to receive your application and ensures youāre considered for this exciting opportunity in quantitative finance!
How to prepare for a job interview at HUG
āØKnow Your Numbers
Brush up on your statistics and quantitative techniques. Be prepared to discuss specific models you've worked on and the results they generated. This is your chance to showcase your analytical skills, so have examples ready that demonstrate your ability to generate alpha through data-driven analysis.
āØMaster Python and Beyond
Since strong programming skills in Python are a must, make sure you can talk about your coding experience confidently. Prepare to discuss any projects where you've implemented complex algorithms or developed scalable production code. If youāve used other analytical tools or languages, donāt forget to mention those too!
āØShowcase Your Problem-Solving Skills
Be ready to tackle some real-world problems during the interview. They might ask you to solve a quantitative problem on the spot or discuss how you approached a challenging research question in the past. Think of a few scenarios where your problem-solving skills led to tangible results.
āØCommunicate Clearly
Youāll need to explain complex concepts effectively, so practice articulating your thoughts clearly. Whether itās discussing your research findings or explaining a model, clarity is key. Consider doing mock interviews with friends or colleagues to refine your communication style.
