Quantitative Researcher (Machine Learning) - Dare
City of London
Permanent, Full-time - Onsite
Overview
We are an energy trading company generating liquidity across global commodities markets. We combine deep trading expertise with proprietary technology and the power of data science to be best-in-class. Dare empowers exceptional people to become the best version of themselves.
What you’ll be doing:
- Be part of the algorithmic technical space, building a platform that delivers ML capabilities to our Liquidity trading teams.
- Set and deliver a consistent, scalable approach to machine learning across the organisation.
- Build relationships with Senior Leaders to shape a strategy that delivers models providing traders with a competitive edge.
- Using Dare’s proprietary trading data and models to drive trading PNL.
- Develop trading indicators and strategies powered by machine learning.
- Partner with quantitative research and algorithmic trading technology teams.
- Collaborate with the CEO and other senior stakeholders to combine domain knowledge with engineering expertise.
What You’ll Bring
- 3+ years experience in machine learning algorithms, software engineering, and data mining models, with large language modelling (LLM) experience advantageous.
- Background in maths, statistics, and algorithms, with the ability to write robust scalable Python code.
- Solid understanding of the mathematical and statistical fundamentals of ML methods; capability beyond just calling functions from ML packages.
- Experience with production data processing: data manipulation, cleansing, aggregation, and efficient preprocessing.
- Experience with time-series data, including storage and management.
- Strong familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn, HuggingFace).
- Ability to work with analytical teams to build dashboards that prove the value of ML capabilities as models are delivered to production.
Desirable:
- Experience with real-time data systems.
- Experience with cloud-based solutions.
Benefits & perks:
- Competitive salary
- Vitality health insurance and dental cover
- 38 days of holiday (including bank holidays)
- Pension scheme
- Annual Bluecrest health checks
- A personal learning & development budget of £5000
- Free gym membership
- Specsavers vouchers
- Enhanced family leave
- Cycle to Work scheme
- Credited Deliveroo dinner account
- Office massage therapy
- Freshly served office breakfast twice a week
- Fully stocked fridge and pantry
- Social events and a games room
Diversity matters:
We believe in a workplace where our people can fulfill their potential, whatever their background or whomever they are. We celebrate the breadth of experience and see this as critical to problem-solving and to Dare thriving as a business. Our culture rewards curiosity and drive, so the best ideas triumph and everyone here can make an impact.
Please let us know ahead of the interview and testing processes if you require any reasonable adjustments or assistance during the application process.
We’re also proud to be certified a ‘Great Place to Work’.
Seniority level
Employment type
Job function
London, England, United Kingdom
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