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AI Quant Researcher - Millennium Global Investments Limited

Millennium Global Treasury Services Ltd

London

On-site

GBP 50,000 - 90,000

Full time

4 days ago
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Job summary

Millennium Global Treasury Services is looking for an AI Quant Researcher to join their team in London. This role involves conducting advanced data analysis using machine learning techniques, developing AI workflows, and implementing effective currency strategies. Candidates should possess strong quantitative skills, proficiency in Python, and ideally experience with cloud technologies, making this a dynamic opportunity in the quantitative finance sector.

Qualifications

  • Strong quantitative skills required in fields such as Mathematics, Quantitative Finance, Physics, Computer Science, or Engineering.
  • Proficiency in Python programming essential.
  • Experience with machine learning, deep learning, or natural language processing preferred.

Responsibilities

  • Conduct research and analysis using advanced modelling and AI techniques.
  • Transform data insights into investment signals for currency risk management.
  • Develop and automate AI and investment workflow pipelines in the cloud.

Skills

Machine Learning
Python
Data Structures

Education

Degree in a quantitative field

Tools

LlamaIndex
LangChain Frameworks
AWS
Docker

Job description

AI Quant Researcher

The Company:

Millennium Global Investments (www.millenniumglobal.com) is an independent currency investment management specialist with USD 26bn in group hedged assets. The Millennium Global group is comprised of both Millennium Global Investments and MillTechFX (www.milltechfx.com). MillTechFX provides execution and hedging services via its unique technology-driven FX-as-a-Service offering.

The Role:

The AI Quant Researcher role encompasses a range of responsibilities, including:

  • Conducting research and analysis on various types of data (semi-structured, and unstructured) using advanced modelling, machine learning and AI techniques.
  • Transforming data insights into actionable investment signals to enhance currency risk management and assist with the development of currency strategies.
  • Developing and automating AI, machine learning, and investment workflow pipelines in the cloud.
  • Keeping abreast of the latest advancements in AI, machine learning research and developments.
Skills:

In addition to strong quantitative skills (Mathematics, Quantitative Finance, Physics, Computer Science, or Engineering), that are a pre-requisite, the position also requires:

  • Machine Learning and AI: Experience with machine learning and AI techniques or a strong willingness to learn with quickly.
  • Python and Data Structures: Proficiency in Python programming, including the use of standard python packages such as NumPy, Pandas, scikit-learn. Familiarity with data structures, algorithms, and understanding time and space complexity is essential.
  • Frameworks and tools: Experience with LlamaIndex, LangChain Frameworks.
  • Advanced Technologies: Understanding and experience with Retrieval-Augmented Generation (RAG), Graph Databases etc.
  • Cloud Services: Experience with cloud services, preferably AWS.
  • DevOps Tools: Experience with DevOps such as Docker.
Requirements:

The successful candidate is likely to have:

A degree in a quantitative field from a reputable university, ideally with a focus on computer science or a discipline involving significant quantitative and programming components. Proficiency with Python programming is essential, along with expertise in applying machine learning (ML), deep learning (DL), or natural language processing (NLP) techniques.

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