Data Scientist

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Reporting into – Head of Quant and AI Strategy

Location – Remote/London

Overview:

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.

MillTech provides an end-to-end operational workflow that enables automation, standardisation and cost transparency on all FX transactions and cash movements. Its 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.

We are a UK scale-up success story. We provide corporates, institutions (e.g. pension funds, endowments and charities) and asset managers with direct access to transparent and competitive multi-bank foreign exchange (FX) execution. This is a game-changer in FX, the world's largest financial industry.

This role is a fantastic opportunity to develop your data scientist career if you are an enthusiastic, self-motivated, inquisitive team player with effective communication and problem-solving skills.You will be hard working with a desire to contribute to the success of a fast-paced and innovative financial services technology firm.You will be joining a growing compliance team and will benefit from ongoing training.

The Role:

The role is in the Quant Solution Group within the firm and involves;

·Conducting research and analysis on different types of structured, semi-structured and unstructured data using advanced modelling and machine learning and AI techniques.

·Turning the insights generated from the data into investment signals to improve the currency risk management strategies and analytics.

·Developing and automating AI, machine learning and investment workflow pipelines in the AWS cloud.

·Staying up to date with the latest developments in AI, machine learning research and developments.

Requirements:

A recent graduate in a quantitative field from a reputable university, ideally computer science studies or a subject involving substantial quantitative and programming components. Proficiency with Python programming is essential, alongside expertise in applications of machine learning (ML), deep learning (DL), or natural language processing (NLP).

Required Skills:

·Education: BSc/Msc in a technical degree, including but not limited to Mathematics, Quantitative Finance, Physics, Computer Science, or Engineering.

·Machine Learning and AI: Experience working with machine learning and AI techniques or at least eager to learn them quickly.

·Python and Data Structure: You should be proficient in Python programming not just using standard python packages such as NumPy, Pandas, scikit-learn etc, but also familiar with data structure and algorithms, time and space complexity.

Desirable Skills and Experience

·Experience with Agentic Frameworks such as LangGraph etc.

·Understand and having experience with RAG, Graph Database etc.

·Experience with cloud services (AWS preferred).

·Experience with DevOps tools (Docker etc.)

·Understand relational and no SQL database and data structure.

How to apply?

We would love to hear from you if you think that you’re a good fit for this role.To apply you should upload your CV. One of the team will then be in touch with you to discuss the next steps!

Seniority level

Seniority level
Entry level

Employment type

Employment type
Full-time