- Developing tools primarily in Python to help the team identify trading opportunities using quantitative analysis. This includes but is not limited to scanning tools, back testing frameworks, data visualisation tools and front ends to help with statistical analysis.
- Building out the integration layer between the firm's C# based analytics stack and the team's Python tooling.
- Helping build and maintain the Trading Strategy platform and libraries for strategy back testing, risk management and trade execution.
- Contributing toward notebooks and analysis to support the firm's investment processes.
- Sourcing, integrating and analysing data required to identify trading opportunities. This will include building databases to warehouse the data and interfaces with different data providers.
- Strong academic background with at least a BSc in Computer Science or a STEM subject
- Excellent programming skills in Python
- Experience of working with Cloud based technologies and Kubernetes
- Strong experience of development and testing best practices
- Experience working with both relational and non-relational databases
- Experience building enterprise level systems
- Familiarity with C# or similar statically typed language
- Some prior exposure to financial products and markets
- Experience working as a quant or developer, ideally within the finance industry
Trading Strategy Platform Quant Developer/Strat - London, United Kingdom - Anson McCade
Description
Job Description
Our client
They are a UK Alternative Investment Fund Manager with over 200 employees across London, New York, Washington DC, Hong Kong and Singapore. They target consistent long-term returns for their investors within a well-defined risk framework. They are predominantly active in global macro strategies and focus on the major macro asset classes including interest rates, FX, equities, credit, mortgages and commodities in developed and emerging markets. Their investor base is institutional in nature, and diversified by investor type and by geography.
The culture is driven by teamwork, their ability to analyse and solve complex problems, and their embedded values which helps them to clarify expectations of each other: you will work alongside exceptional people who are trusted talent, who challenge and support each other, in the pursuit of collective excellence, to achieve sustainable success.
There is a strong culture of ownership and responsibility – every role is valued and everyone has the opportunity to have a significant impact on the team and wider organisation.
The team
The Trading Strategy team is responsible for development of systematic trading strategies and providing useful signals for discretionary trading. The team regularly engages with the Investment desk, as well as working closely with Quants, Research, and Technology.
Responsibilities;
Requirements:
Additional;