ML Quant Researcher for Trading AI Platforms

NLP PEOPLE; Greater London; On-site; GBP 90,000 - 140,000; Full time

Benefits offered by this job

Competitive salary

Vitality health insurance and dental

38 days of holiday (incl. bank)

Pension scheme

Annual health checks

Learning & development budget £5000

Free gym membership

Cycle to Work scheme

Office breakfast twice a week

Fully stocked fridge and pantry

Social events and games room

Job summary

Dare in City of London is seeking a Quantitative Researcher to join the algorithmic space, building ML capabilities for our liquidity trading teams and delivering models that give traders a competitive edge.

The role requires strong ML, maths and statistics, plus robust Python coding, with experience in production data processing and time-series data management. Collaboration with senior leaders is essential.

Qualifications

• 3+ years experience in machine learning, software engineering and data mining models, with large language modelling (LLM) experience advantageous.
• Background in maths, statistics and algorithms, with ability to write robust scalable Python code.
• Strong understanding of the mathematical and statistical fundamentals underlying ML methods.
• Experience with production data processing: data manipulation, cleansing, aggregation, preprocessing.
• Experience with time-series data, including storage and management.
• Solid experience with ML frameworks (TensorFlow, PyTorch, scikit-learn, HuggingFace).
• Ability to work with analytical teams to build dashboards that prove ML value in production.

Responsibilities

• Using Dare’s proprietary trading data and models to drive trading PNL.
• Developing trading indicators and ML-powered strategies.
• Partnering with quantitative research and algorithmic trading technology teams.
• Collaborating with the CEO and senior stakeholders to shape a strategy delivering competitive ML models.

Skills

ML algorithms

Python

Time-series data

Statistical methods

Production data processing

Data manipulation

Dashboard development

LLMs

Tools

TensorFlow

PyTorch

scikit-learn

HuggingFace

Job description

Dare in City of London is seeking a Quantitative Researcher to join the algorithmic space, building ML capabilities for our liquidity trading teams and delivering models that give traders a competitive edge.

The role requires strong ML, maths and statistics, plus robust Python coding, with experience in production data processing and time-series data management. Collaboration with senior leaders is essential.