At a Glance
- Tasks: Build data foundations and develop quantitative models for prediction markets.
- Company: Join a cutting-edge team in the fast-paced world of quantitative trading.
- Benefits: Competitive salary, dynamic work environment, and opportunities for growth.
- Other info: Collaborate closely with traders and enjoy a hands-on role in a high-growth setting.
- Why this job: Make an impact in sports and betting markets while honing your quantitative skills.
- Qualifications: Strong background in statistics, Python skills, and experience in trading or prediction markets.
The predicted salary is between 100000 - 150000 £ per year.
We’re building a new quantitative research team focused on pricing, market-making, and risk models for prediction markets. This is a highly hands-on role for someone who can operate end-to-end: data engineering, research, modeling, and close collaboration with traders, across sports and non-sports event markets and a range of contract types, including single-outcome markets, player props, and parlays.
Responsibilities:
- Build data foundation, transform raw data into pricing inputs
- Research and develop quantitative pricing, market-making, and risk models across sports, non-sports, player props, parlays, and correlated markets
- Model cross-market dependencies, correlations, and portfolio effects, especially for combinatorial products such as parlays
- Partner closely with traders to improve pricing logic, market coverage, and trading performance
- Build frameworks for backtesting, simulation, and model validation
- Create tools to monitor model performance, calibration, P&L attribution, and live trading outcomes
- Help define the tooling, workflow, and research standards for a new team
Requirements:
- Strong quantitative background in statistics, math, ML, economics, or a related field
- Experience building models in trading, sports, betting, prediction markets, or similar domains
- Strong Python/data skills and comfort owning data pipelines as well as modeling
- Ability to move quickly from raw data to research insight to production-ready mode
- High ownership, strong communication skills and comfortable with fast-paced high growth environment
Salary: $100,000 - $150,000 a year
Quantitative Researcher - Prediction Markets, Quant Trading in London employer: Crypto.com
Join our innovative quantitative research team where you'll have the opportunity to work hands-on in a dynamic environment focused on cutting-edge pricing and market-making models. We foster a collaborative culture that encourages personal growth and development, offering competitive salaries and the chance to make a significant impact in the fast-paced world of prediction markets. With a commitment to excellence and a supportive atmosphere, we empower our employees to thrive and excel in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Researcher - Prediction Markets, Quant Trading in London
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We think you need these skills to ace Quantitative Researcher - Prediction Markets, Quant Trading in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Crypto.com, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Crypto.com. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Crypto.com
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Crypto.com!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
