DV Trading Logo

DV Trading

Quantitative Researcher

Reposted 12 Days Ago
Be an Early Applicant
In-Office
London, Greater London, England, GBR
Junior
In-Office
London, Greater London, England, GBR
Junior
Analyze high-frequency limit orderbook and tick data to discover predictive signals; build and backtest quantitative models; develop and maintain data pipelines; apply statistical and tree-based machine learning methods; collaborate with researchers and traders to productionize and monitor live signals.
The summary above was generated by AI

About Us:

Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser.

Overview: 

We're looking for a Quantitative Researcher, focused on orderbook-driven signal generation. This role is ideal for someone early in their career who has hands-on experience working with limit orderbook data and a genuine curiosity about how markets function at the tick level. You'll work closely with senior researchers and traders to develop, test, and refine predictive signals and models that inform trading decisions.

 

Responsibilities:

  • Analyze high-frequency limit orderbook data to identify patterns, inefficiencies, and predictive signals
  • Build and backtest quantitative models using historical tick and orderbook data
  • Collaborate with senior researchers and traders to translate research findings into production-ready strategies
  • Develop and maintain data pipelines for processing large-scale, high-frequency market data
  • Apply statistical and machine learning techniques, particularly tree-based methods, to improve signal quality
  • Continuously monitor and iterate on live signals and models based on performance

Requirements:

  • 1–3 years of professional or research experience working directly with orderbook / limit order book (LOB) data
  • Technical degree/background in a quantitative field (Math, Statistics, CS, Physics, Engineering, Financial Engineering)
  • Strong proficiency in Python, including standard data science libraries (pandas, NumPy, etc.)
  • Genuine interest in financial markets and market microstructure — you follow markets, not just models
  • Solid foundation in statistics and quantitative analysis
  • Strong problem-solving skills and intellectual curiosity
  • Ability to communicate technical findings clearly to non-technical stakeholders

 

DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV’s posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.

DV Trading London, England Office

London, United Kingdom

Similar Jobs

20 Days Ago
In-Office
London, Greater London, England, GBR
Entry level
Entry level
Fintech • Quantitative Trading
Join as a graduate quantitative researcher to design, build, test and deploy statistical and machine learning models for pricing, forecasting and signal discovery using large-scale market and unstructured data. Collaborate with researchers, traders and engineers to monitor production models, refine assumptions, and accelerate research-to-production using AI-enabled workflows.
Top Skills: AIBasicCC++Deep LearningJavaMachine LearningPython
One Month Ago
Hybrid
2 Locations
Senior level
Senior level
Marketing Tech
Lead and deliver quantitative research projects from design through delivery. Manage questionnaires, oversee survey management and data collection, analyse results, produce client-focused reports and presentations, engage stakeholders, mentor junior staff, and support business development and commercial performance while adopting AI and research tools.
Top Skills: AIRSpss
One Month Ago
In-Office
London, Greater London, England, GBR
Junior
Junior
Financial Services
Design and build models, strategies, and systems to price and trade financial instruments. Work with researchers, engineers, and traders on dataset generation, time-series analysis, feature engineering, model building, hyperparameter tuning, and distributed/deep-learning training at large scale.
Top Skills: Deep LearningDistributed TrainingFeature EngineeringGpu ClusterHyperparameter TuningMachine LearningPythonTime Series Analysis

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account