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- Tasks: Join our team to implement event-driven trading strategies and optimise processes using Python.
- Company: AQR is a leading global investment firm known for innovation in alternative strategies since 1998.
- Benefits: Enjoy 100% paid medical coverage, monthly cell phone reimbursement, and free meals at the office.
- Why this job: Be part of a collaborative culture that values academic excellence and challenges conventional thinking.
- Qualifications: Bachelor's degree in Economics or related field with 5 years of relevant experience required.
- Other info: Salary for this role is $170,914/year; AQR is an Equal Opportunity Employer.
The predicted salary is between 120000 - 120000 £ per year.
About AQR Capital Management
AQR is a global investment firm built at the intersection of financial theory and practical application. We strive to deliver concrete, long-term results by looking past market noise to identify and isolate the factors that matter most, and by developing ideas that stand up to rigorous testing. By putting theory into practice, we have become a leader in alternative strategies and an innovator in traditional portfolio management since 1998. At AQR, our employees share a common spirit of academic excellence, intellectual honesty and an unwavering commitment to seeking the truth. We are determined to know what makes financial markets tick - and we will ask every question and challenge every assumption. We recognise and respect the power of collaboration and believe transparency and openness to new ideas leads to innovation.
Your Role:
- Work with Trading, Research, Portfolio Management, Operations, and Technology teams to implement and execute the firm's event-driven corporate arbitrage strategies, including mergers & acquisitions, convertible arbitrage, SPACs, IPOs, ECM Blocks, high-yield, and dual-class shares.
- Design, develop, and optimize systematic processes using Python to ensure that daily trade execution is performed in an optimal and efficient manner.
- Participate in project-based initiatives to build, improve, and maintain algorithmic systematic processes and solutions for the event-driven trading platform.
- Implement new strategies and funds.
- Perform comprehensive quantitative and financial analyses to formulate detailed trade execution plans and generate opportunistic trade ideas, including leveraging statistical models to analyze large datasets and derive actionable insights.
- Provide back-up support for post-execution production support for the Trade Execution team.
- Evaluate and compare the relative quality of various execution approaches for multiple asset classes.
- Present reports on general economic trends and asset classes.
- Monitor fundamental economic, asset class, and market structure developments by analyzing information from financial publications and services, investment banking firms, government agencies, trade publications, company sources, and personal interviews.
- Perform quantitative research, and analyze and interpret data on price, yield, economic influences, and other macroeconomic factors affecting trade execution planning, costs, and approaches for different asset classes to optimize the execution costs of trading strategies.
- Prepare presentations, charts, and graphs to present quantitative research and financial analysis results to the management team.
What You'll Bring:
Requires a Bachelor's degree in Economics, Mathematics, Financial Engineering, or a related field of study, plus five (5) years of experience with futures, equities, Fixed Income, and derivatives; developing and improving trading software; corporate finance and financial modeling; researching for event-driven strategies; algorithmic trading and execution; using Python and SQL, including machine learning techniques and statistical modeling, in data analysis for trading research; quantitative research on price, yield, economic influence, and other factors affecting trade execution planning, costs, and approaches for different asset classes; and/or quantitative research, data analysis, and data-driven decision making.
AQR offers generous benefits: 100% paid Medical, Dental and Vision coverage. Some of the perks at AQR include a monthly cell phone reimbursement; a daily lunch allowance for those in the office; free breakfast, snacks and drinks in our kitchens; commuter benefits; and employee referral program.
The salary for this role is $170,914.00 - $170,914.00/year. AQR is an Equal Opportunity Employer. EEO/VET/DISABILITY.
Associate - Global Trading (AQR Capital Management, LLC, Greenwich, CT) employer: AQR Capital Management
Contact Detail:
AQR Capital Management Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate - Global Trading (AQR Capital Management, LLC, Greenwich, CT)
✨Tip Number 1
Familiarise yourself with AQR's investment strategies and recent market trends. Understanding their approach to event-driven corporate arbitrage will help you engage in meaningful conversations during interviews.
✨Tip Number 2
Brush up on your Python and SQL skills, as these are crucial for the role. Consider working on personal projects or contributing to open-source projects that involve algorithmic trading or data analysis to showcase your abilities.
✨Tip Number 3
Network with professionals in the finance and trading sectors. Attend industry conferences or webinars where you can meet people from AQR or similar firms, as personal connections can often lead to job opportunities.
✨Tip Number 4
Prepare to discuss your quantitative research experiences in detail. Be ready to explain how you've used statistical models and data analysis to derive insights, as this will demonstrate your fit for the analytical demands of the role.
We think you need these skills to ace Associate - Global Trading (AQR Capital Management, LLC, Greenwich, CT)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Associate position at AQR Capital Management. Familiarise yourself with their event-driven corporate arbitrage strategies and the technical skills required, such as Python and SQL.
Tailor Your CV: Customise your CV to highlight relevant experience in trading, quantitative research, and financial analysis. Emphasise your proficiency in Python and any experience with algorithmic trading or financial modelling that aligns with the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for finance and your analytical skills. Mention specific projects or experiences that demonstrate your ability to implement trading strategies and conduct quantitative analyses, linking them back to AQR's mission.
Highlight Collaborative Experience: AQR values collaboration and transparency. In your application, provide examples of how you've successfully worked in teams, particularly in high-pressure environments, and how you contributed to innovative solutions in previous roles.
How to prepare for a job interview at AQR Capital Management
✨Understand the Role and Responsibilities
Make sure you have a clear understanding of the Associate role at AQR, especially the event-driven corporate arbitrage strategies. Familiarise yourself with terms like mergers & acquisitions, SPACs, and algorithmic trading, as these will likely come up during your interview.
✨Showcase Your Technical Skills
Since the role requires proficiency in Python and SQL, be prepared to discuss your experience with these languages. You might even be asked to solve a technical problem or explain how you've used these skills in past projects, so brush up on relevant examples.
✨Demonstrate Quantitative Analysis Expertise
AQR values quantitative research, so be ready to discuss your experience with statistical models and data analysis. Prepare to share specific instances where your analyses led to actionable insights or improved trading strategies.
✨Prepare for Behavioural Questions
AQR places a strong emphasis on collaboration and intellectual honesty. Be ready to answer behavioural questions that assess your teamwork skills and how you handle challenges. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
