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Quantitative Researcher (ML)

DARE

London

On-site

GBP 60,000 - 85,000

Full time

21 days ago

Job summary

A leading energy trading company is seeking a Quantitative Researcher to join their London team. The successful candidate will leverage machine learning and data analytics to enhance trading strategies and collaborate with senior leaders on critical projects. This role offers an exciting opportunity to work in a dynamic environment where your insights can make a significant impact.

Benefits

Competitive salary
Vitality health insurance and dental cover
38 days of holiday
Pension scheme
Annual Bluecrest health checks
Personal learning & development budget
Free gym membership
Enhanced family leave
Cycle to Work scheme
Credited Deliveroo dinner account
Office massage therapy
Freshly served office breakfast
Fully stocked fridge and pantry
Social events and games room

Qualifications

  • 3+ years experience in machine learning and software engineering.
  • Strong Python coding skills and understanding of ML fundamentals.
  • Experience in production data processing and time-series data management.

Responsibilities

  • Develop ML models to drive trading PNL using proprietary data.
  • Collaborate with teams to implement scalable solutions across the organization.
  • Build and maintain relationships with senior stakeholders to align strategies.

Skills

Machine Learning Algorithms
Software Engineering
Data Mining Models
Python
Mathematics
Statistics
Time-Series Data

Education

Bachelor's or Master's in relevant field

Tools

TensorFlow
PyTorch
scikit-learn
Huggingface

Job description

City of London

Permanent, Full-time - Onsite

Who we are:

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 the best-in-class. Our understanding of volatile, data-intensive markets is a key part of our edge.

At Dare, you will be joining a team of ambitious individuals who challenge themselves and each other. We have a culture of empowering exceptional people to become the best version of themselves.

What you’ll be doing:

The Quantitative Researcheris a key role within the algorithmic technical space at Dare. Working closely with a talented algorithmic andtechnical team to build a platform that delivers ML capabilities to ourLiquidity trading teams. These teams are responsible for delivering products for internal customers. Setting and delivering a consistent, scalable approach to machine learning across the organisation is one of the key success criteria for this role. The role requires building relationships and collaborating with Senior Leaders across the business to shape a strategy that delivers models that provide our traders with a competitive edge.

  • Using Dare’s proprietary trading data and models to drive trading PNL.
  • Developing trading indicators and strategies powered by machine learning.
  • Partnering with quantitative research and algorithmic trading technology teams.
  • Collaborating 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, withlarge language modelling (LLM) experience being advantageous.
  • A background in maths, statistics, and algorithms, with the capability to write robust scalable Python code.
  • A strong understanding of the mathematical and statistical fundamentals on which the ML methods are based. We want someone who understands the methods rather than just calling functions from existing ML packages.
  • Experience with production data processing. That includes data manipulation, data cleansing, aggregation, efficient (pre-)processing, etc.
  • Experience with time-series data, including storage and management.
  • A strong understanding through the usage of machine learning frameworks (TenserFlow, PyTorch, sci-kit-learn, Huggingface).
  • Ability to work with analytical teams to build dashboards that prove the value of the machine learning capabilities as we deliver models to our production environments.

Desirable:

  • Experience working with real-time data systems.
  • Experience working 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’. Read more about our culture and what our team says about us here.

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