At a Glance
- Tasks: Conduct cutting-edge research on FX markets using AI and machine learning techniques.
- Company: Join MillTech, a leader in FX and cash management solutions.
- Benefits: Enjoy competitive salary, flexible working, and excellent training opportunities.
- Other info: Be part of a supportive team with great career growth potential.
- Why this job: Make an impact in finance while developing your skills in a dynamic environment.
- Qualifications: Recent graduate in a quantitative field with strong Python skills.
The predicted salary is between 63000 - 77000 £ per year.
Position: Quantitative Researcher – AI & Machine Learning
Reports to: Chief Quant and AI Officer
Location: London/Remote
About MillTech
MillTech provides advanced FX and cash management solutions to increase market access, reduce costs and automate manual workflows. With a focus on automation, integration and connectivity, we have pioneered an independent risk management and liquidity solution for fund managers, institutions and global corporates, which is purpose-built to deliver best execution at scale. Our end-to-end operational workflow enables automation, standardisation and cost transparency on all FX transactions and cash movements. A highly secure platform centralises all client FX and cash activities to enhance oversight whilst increasing control, all at no additional costs. It offers quick onboarding routes, multi-bank best execution and hedging management services. Headquartered in London, the world’s largest FX hub, MillTech provides services to clients in the United Kingdom, United States, Canada, Switzerland, Belgium, Denmark, Ireland, Luxembourg, Norway and Liechtenstein. MillTech is authorised and regulated by the UK’s Financial Conduct Authority (FCA) and registered with the USA’s National Futures Association (NFA).
Your responsibilities in this role will include:
- Conducting research on FX markets and currency risk management using advanced quantitative, statistical, machine learning and AI techniques.
- Analysing structured, semi-structured and unstructured data to identify insights, signals and opportunities to improve risk management strategies and analytics.
- Researching and evaluating the latest developments in quantitative finance, AI and machine learning and applying relevant techniques to real-world financial market problems.
- Developing robust research prototypes and analytical workflows in Python.
- Providing occasional support in deploying successful research into production, working with technology teams where required.
- The primary focus of the role is quantitative research rather than software engineering.
- Staying up to date with developments in financial markets, quantitative research, AI and machine learning.
Requirements:
- A recent graduate in a quantitative field from a reputable university, ideally in a subject involving substantial quantitative, statistical and programming components.
- Proficiency in Python is essential, alongside experience with, or strong interest in, machine learning and AI.
Required Skills:
- Education: BSc/MSc in a technical degree, including but not limited to Mathematics, Quantitative Finance, Physics, Computer Science, Statistics or Engineering.
- Machine Learning and AI: Experience with machine learning and AI techniques, or a strong ability and willingness to learn new techniques quickly.
- Python and Data Structures: Strong Python programming skills, including familiarity with NumPy, Pandas, scikit-learn and core concepts such as data structures, algorithms and computational complexity.
- Quantitative Research: Strong analytical skills and the ability to formulate hypotheses, test ideas rigorously and interpret empirical results.
- Financial Markets: Demonstrable interest in FX, financial markets, quantitative investing or risk management.
Desirable Skills and Experience:
- Experience with financial time-series analysis or quantitative research.
- Experience with agentic frameworks such as LangGraph.
- Understanding of RAG, graph databases or knowledge graphs.
- Experience with cloud services, preferably AWS.
- Familiarity with Docker and basic deployment workflows.
- Understanding of relational and NoSQL databases.
What we offer in return:
Our commitment is to help you flourish in this role, through support with your professional development, opportunities to be involved in key projects, and exposure to challenges that you may not be offered in a larger organisation. We will provide:
- A competitive salary with annual reviews;
- 25 days’ paid annual leave plus an additional day per year of service;
- Excellent staff development and training opportunities;
- Flexible working arrangements including remote working;
- Medical insurance;
- Dental insurance;
- EV Scheme and Cycle to work scheme;
- Enhanced maternity and paternity leave;
- 1 day off for charity work per quarter and many other benefits!
Quantatative Researcher | London employer: MillTech
MillTech is an exceptional employer located in London, the world's largest FX hub, offering a dynamic work culture that prioritises innovation and collaboration. Employees benefit from a competitive salary, flexible working arrangements, and extensive professional development opportunities, all while contributing to a purpose-driven mission in the financial technology sector. With a strong commitment to diversity and inclusion, MillTech fosters a supportive environment where every team member can thrive and make a meaningful impact.
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We think this is how you could land Quantatative Researcher | London
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We think you need these skills to ace Quantatative Researcher | 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!
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Craft a Tailored Cover Letter:For a full-time role at MillTech, 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 MillTech. 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 MillTech
✨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
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✨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.
