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- Tasks: Join our research team to uncover trading opportunities and develop innovative strategies.
- Company: Alpha Research & Strategy is a dynamic start-up focused on quantitative finance and trading.
- Benefits: Collaborative environment, strong peer support, and involvement in all aspects of research and trading.
- Why this job: Perfect for quants seeking hands-on experience in a fast-paced, innovative setting.
- Qualifications: Master’s or Ph.D. in a quantitative field with 5+ years in quantitative finance required.
- Other info: Ideal for those looking to advance their career in a supportive, engaging atmosphere.
The predicted salary is between 48000 - 84000 £ per year.
Job Description
Key Responsibilities
- Alpha Research & Strategy Design: Partner with the research team to uncover trading opportunities, leveraging expertise in statistical arbitrage and quantitative research. Build, refine, and implement intraday and systematic trading strategies for global markets.
- Advanced Data Analysis: Analyze large-scale market data and time-series datasets, utilizing cutting-edge statistical methods to uncover actionable patterns and insights.
- Model Development & Validation: Develop, test, and continuously enhance predictive models and systematic strategies through rigorous back-testing, ensuring their robustness across diverse asset classes (e.g., equities, currencies, commodities, and fixed income).
- Collaboration Across Teams: Coordinate closely with technology teams to integrate quantitative models with advanced trading infrastructure.
- Risk Assessment & Strategy Optimization: Apply in-depth knowledge of risk management principles to ensure that trading strategies operate within predefined risk parameters.
Key Qualifications
- Educational Background: Master’s or Ph.D. in Applied Mathematics, Statistics, Computer Science, Physics, or a related quantitative field.
- Professional Expertise:
- Demonstrated experience with statistical arbitrage strategies, high-frequency trading, or market-making.
- 5+ years of experience in quantitative finance, systematic trading, or proprietary trading environments.
- Proven ability to generate alpha through rigorous financial modeling, statistical analysis, and innovative research methods.
- Technical Proficiency:
- Strong expertise in Python (particularly for data analysis) and proficiency in C++.
- Familiarity with machine learning techniques and frameworks.
- Advanced skills in analyzing complex datasets, implementing models, and applying statistical methods to trading environments.
- Exceptional problem-solving abilities, particularly in managing complex datasets and implementing innovative solutions.
- A self-starter with a demonstrated ability to work independently in a fast-paced, high-pressure environment.
- Core Competencies:
This role is open to candidates who have medium-frequency experience within statistical arbitrage. High-frequency experience is not fundamental.
If you are a quant researcher who is interested in working in a collaborative start-up environment with very good backing/peers and you want to be involved in all parts of the research/trading/coding – this is a perfect platform. Quants who are part of a larger team where they cannot get involved in all parts of the process and are just one of so many would find this ideal as a stepping stone into their career.
If you're a driven quantitative professional with deep expertise in statistical arbitrage and a passion for cutting-edge trading strategies, we encourage you to apply. Please send a PDF CV to quants@ekafinance.com
Researcher employer: Eka Finance
Contact Detail:
Eka Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Researcher
✨Tip Number 1
Make sure to showcase your experience with statistical arbitrage and quantitative research in your conversations. Highlight specific projects or strategies you've worked on that demonstrate your ability to generate alpha.
✨Tip Number 2
Familiarize yourself with the latest trends in high-frequency trading and market-making. Being able to discuss current market conditions and how they relate to your expertise can set you apart during interviews.
✨Tip Number 3
Prepare to discuss your technical skills in Python and C++. Be ready to explain how you've used these languages for data analysis and model development, as this will be crucial for the role.
✨Tip Number 4
Emphasize your collaborative skills and experience working with technology teams. This role requires close coordination, so demonstrating your ability to work well in a team environment will be beneficial.
We think you need these skills to ace Researcher
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your educational background and professional expertise in quantitative finance, particularly focusing on your experience with statistical arbitrage strategies and high-frequency trading.
Showcase Technical Skills: Emphasize your proficiency in Python and C++, as well as any familiarity with machine learning techniques. Provide specific examples of how you've applied these skills in previous roles.
Highlight Problem-Solving Abilities: Include examples that demonstrate your exceptional problem-solving abilities, especially in managing complex datasets and implementing innovative solutions in trading environments.
Express Your Passion: In your application, convey your enthusiasm for working in a collaborative start-up environment and your interest in being involved in all parts of the research, trading, and coding processes.
How to prepare for a job interview at Eka Finance
✨Showcase Your Technical Skills
Be prepared to discuss your expertise in Python and C++. Highlight specific projects where you've utilized these languages for data analysis or model development, as this will demonstrate your technical proficiency.
✨Discuss Your Research Experience
Share examples of your previous work in statistical arbitrage or quantitative research. Be ready to explain the methodologies you used and the outcomes of your research, as this will showcase your ability to generate alpha.
✨Emphasize Collaboration
Since the role involves working closely with technology teams, emphasize your experience in collaborative environments. Discuss how you've successfully integrated models with trading infrastructure in past roles.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities, especially in managing complex datasets. Prepare to walk through your thought process on how you approach challenges in quantitative finance.
