Quantatative Researcher | London

MillTech

Greater London

Hybrid

GBP 75,000 - 100,000

Full time

14 days+

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Benefits offered by this job

Competitive salary with annual reviews

25 days annual leave + 1 day per year

Staff development and training

Flexible remote working

Medical insurance

Dental insurance

EV scheme and cycle to work

Maternity and paternity leave

Charity day

Job summary

MillTech in London is seeking a Quantitative Researcher specializing in AI and machine learning to join the Quant Solutions Group. You will research FX markets, develop quantitative models and analytics, and translate insights into actionable risk management improvements.

The role emphasizes robust Python workflows, collaboration with tech teams, and staying abreast of the latest advances in quantitative finance and AI.

Qualifications

BSc/MSc in a quantitative field with substantial programming components.
Proficiency in Python; interest in ML/AI.
Strong Python skills with NumPy, Pandas and scikit-learn.
Analytical skills to formulate hypotheses, test ideas and interpret results.
Interest in FX/financial markets and risk management.

Responsibilities

Conduct research on FX markets using quantitative, statistical, ML and AI techniques.
Analyze structured, semi-structured and unstructured data to identify insights and signals.
Evaluate latest developments in quantitative finance, AI and ML and apply to real problems.
Develop robust research prototypes and Python-based workflows.
Support deployment of research into production with tech teams; focus on research over software engineering.
Stay updated on financial markets, quantitative research and AI advancements.

Skills

Python

NumPy

Pandas

scikit-learn

Quantitative research

Financial markets

Education

BSc/MSc in quantitative field

Mathematics/Statistics/CS/Engineering

Tools

AWS

Docker

NoSQL databases

SQL

Job description

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 FRN 911636) and registered with the USA’s National Futures Association (NFA).

Your responsibilities in this role will include:

The role is in the Quant Solutions Group within the firm and involves:

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: