Point72 Logo

Point72

Quantitative Developer

Posted 2 Months Ago
Be an Early Applicant
In-Office
London, Greater London, England, GBR
Junior
In-Office
London, Greater London, England, GBR
Junior
Develop and maintain components for live trading and research environments, drive automation and robustness, implement data checking and handling, monitor and troubleshoot systems, and share responsibility for correct, timely trading operations.
The summary above was generated by AI

About Cubist: 
Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

About the team:

The team is focused on systematic equity trading.  It is established, yet still pre-trade, offering an exciting opportunity to join at an early stage and be involved in a broad range of development areas.  The team members come from a mixture of quant analyst and development backgrounds, using the combination of skills to achieve a common goal.  All team members are based in the London office five days a week to maximize communication and interaction.

Role and Responsibilities:
An ideal growth role to suit a developer looking for additional responsibilities and independence.  

Responsibilities may include: 
•    Building components for all aspects of live trading and research environments.
•    Driving automation and robustness of our processes.
•    Developing robust data checking and handling procedures.
•    Monitoring and troubleshooting any issues that should arise.
•    Shared responsibility for timely and correct operation of trading systems.

Requirements: 
•    Bachelor’s degree or equivalent in computer science or other STEM discipline
•    2+ years commercial experience with Python and its data science libraries on Linux.
•    Pragmatic balance between attention to detail and delivery focus.
•    Ability to work with ambiguous requirements.
•    Self-driven, owning problems while knowing when to seek advice.
•    Knowledge of finance and trading systems a plus.
•    Experience with a systems programming language (e.g. C++, Rust) a plus. 
•    Commercial use of cloud compute and containers a plus. 
•    Strong analytical skills and command of statistics a plus. 
•    Be in the office five days a week. 
•    Commitment to the highest ethical standards. 

Point72 London, England Office

8 St. James' Square, London, United Kingdom, SW1Y 4JU

Similar Jobs

4 Days Ago
Hybrid
London, Greater London, England, GBR
Expert/Leader
Expert/Leader
Financial Services
Designs and maintains production-grade algorithmic trading systems and execution platforms for systematic Rates markets. Translates quantitative research into scalable strategies, collaborates with traders and researchers on models, hedging, risk, and allocation, and optimizes latency and throughput. The role also emphasizes automated deployments, observability, production support, documentation, and continuous improvement of live trading infrastructure.
Top Skills: C++JavaNumpyPandasPython
28 Days Ago
Hybrid
London, Greater London, England, GBR
Mid level
Mid level
Fintech • Mobile • Payments • Software • Financial Services
Develop and operate quantitative models and production systems for FX pricing, risk management, forecasting, hedging, and trading. Build Python-based quant libraries, services, data pipelines, and monitoring systems; conduct validation and backtesting; manage deployments and incident response; and collaborate with quants, traders, analysts, product managers, engineers, and risk teams.
Top Skills: Apache IcebergSparkCi/CdEvent-Driven ArchitecturesFlinkKafkaMicroservicesPythonReal-Time Data PipelinesRedisSnowflakeStreaming Systems
Yesterday
In-Office
London, Greater London, England, GBR
Entry level
Entry level
Big Data • Fintech • Information Technology • Machine Learning • Financial Services
Build production data pipelines that transform third-party datasets into research-ready data and live signals. Partner with quantitative researchers to engineer features, develop signals, validate and normalize data, and use LLM-based agents to automate ingestion-to-signal workflows. The role also involves creating reusable tools that help researchers and data scientists scale their work.
Top Skills: Data PipelinesLarge-Scale ComputeLlm-Based AgentsPython

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