At a Glance
- Tasks: Conduct research to enhance trading strategies and improve execution efficiency.
- Company: Leading systematic equities platform with a focus on innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on rigorous research and experimentation.
- Why this job: Join a cutting-edge team and make a real impact in the trading world.
- Qualifications: 3+ years in trading research and strong programming skills required.
The predicted salary is between 60000 - 80000 £ per year.
A leading systematic equities platform is seeking an Execution Researcher to join its growing team.
This opportunity offers the chance to work closely with PMs across the entire equities business, alongside the algorithmic trading team, to develop execution-aware portfolios and improve implementation efficiency through rigorous research and experimentation. The role is focused on transaction cost analysis (TCA), market impact modelling, execution algorithms, and realistic trading simulation frameworks. The team is particularly interested in candidates with experience conducting pre- and post-trade analysis and building systematic strategies that account for real-world trading constraints and implementation costs.
Qualifications:
- 3+ years of experience in trading research, algorithmic trading, or systematic strategies
- Strong knowledge of transaction cost analysis, market impact models, and execution algorithms
- Strong programming skills in Python, kdb+/q, or R
Quantitative Researcher - IAC employer: Tardis Group Pty Ltd
As a leading systematic equities platform, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel. Located in the vibrant city of New York, we offer competitive benefits, continuous professional development opportunities, and a dynamic environment where your contributions directly impact our trading strategies. Join us to be part of a forward-thinking team that values rigorous research and experimentation, ensuring your career growth aligns with our mission of improving execution efficiency.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Researcher - IAC
✨Tip Number 1
Network like a pro! Reach out to professionals in the systematic equities space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your transaction cost analysis and market impact models. This is your chance to demonstrate your programming prowess in Python or R.
✨Tip Number 3
Prepare for interviews by brushing up on real-world trading constraints and implementation costs. Be ready to discuss how you've tackled these challenges in your previous roles.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team and contributing to our mission in execution research.
We think you need these skills to ace Quantitative Researcher - IAC
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in trading research and algorithmic trading. We want to see how your skills in transaction cost analysis and market impact modelling fit with what we do at StudySmarter.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you're passionate about systematic equities and how your background aligns with the role. We love seeing genuine enthusiasm for the field.
Showcase Your Technical Skills:Since programming is key for this role, don’t forget to mention your proficiency in Python, kdb+/q, or R. We’re keen to know how you’ve used these skills in your previous projects or research.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Tardis Group Pty Ltd
✨Know Your Numbers
Make sure you brush up on your transaction cost analysis and market impact models. Be ready to discuss specific examples from your past experience where you've successfully applied these concepts. This will show that you not only understand the theory but can also implement it in real-world scenarios.
✨Show Off Your Coding Skills
Since strong programming skills are a must, be prepared to demonstrate your proficiency in Python, kdb+/q, or R. You might be asked to solve a coding problem on the spot, so practice common algorithms and data structures beforehand to ensure you're sharp and ready.
✨Talk About Teamwork
This role involves working closely with PMs and the algorithmic trading team, so highlight your collaborative experiences. Share stories about how you've worked with others to develop execution-aware portfolios or improve implementation efficiency, showcasing your ability to communicate complex ideas clearly.
✨Prepare for Scenario Questions
Expect questions that ask you to analyse hypothetical trading scenarios or to critique existing execution algorithms. Practise thinking through these scenarios out loud, as interviewers will be interested in your thought process and how you approach problem-solving in a systematic way.
