Quant Developer – ESG/RI

Oxford Knight; London; On-site; GBP 60,000 - 90,000; Full time

Job summary

A leading hedge fund is excited to announce an opening within their Responsible Investment Tech team. This role encompasses varied projects, from onboarding ESG datasets to developing Python APIs for data access. Successful candidates will work in a collaborative environment focused on innovative technology and ESG goals.

Benefits

Competitive salary and generous bonuses

Personal development allowance

Central London office

Regular social events and annual company trips

Qualifications

• Expert programming experience, ideally in Python.
• Experience with Linux platforms and scripting.
• Understanding of handling large datasets.

Responsibilities

• Collaborate with the Responsible Investment team on technology projects.
• Develop Python APIs for easy ESG data access.
• Work on onboarding vendor ESG datasets.

Skills

Programming in Python

Collaborative software engineering techniques

Handling large datasets

Linux systems experience

Education

Degree in Computer Science, Mathematics, Engineering, or Physics from a top-tier university

Tools

MongoDB

PostgreSQL

Oracle

Microsoft SQL Server

Git

Job description

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One of the world’s largest hedge funds, this is an excellent opportunity to join the Responsible Investment Tech team in a pivotal, wide-ranging development role. With a flat-structured, ‘no-attitude’ working environment, this is a great time to join as engineering is currently undergoing significant investment.

The Role

Working in small, diverse, cross-functional teams, you’ll collaborate closely with the Responsible Investment team on the strategic build-out of cutting-edge technology to achieve ESG goals. Your projects will be varied and cover everything from onboarding the best vendor ESG datasets for research, analysis & reporting, creating Python APIs to facilitate easy access to ESG data, to developing tools to ensure actionable ESG data is available firm-wide

The majority of the company’s systems run on Linux and most code is written in Python, including extensive use of numpy, scipy, pandas, scikit-learn, etc. But they’re also constantly evaluating new technologies, tools and libraries, meaning you can shape the technology landscape and make an impact early on.

Requirements

• Expert programming experience (ideally in Python)
• Understanding of the challenges of handling large datasets (structured and unstructured)
• Proponent of collaborative software engineering techniques and agile methods
• Solid Linux platforms experience with various scripting languages
• Working knowledge of at least one database technology, e.g. MongoDB, PostgreSQL, Snowflake, Oracle, Microsoft SQL Server
• Degree with high mathematical and computing content – Computer Science, Mathematics, Engineering, Physics, etc. – from a top-tier university

Nice to have

• Proficient with a range of open-source frameworks and development tools, e.g. NumPy SciPy/Pandas, Spark, Jupyter
• Previous experience of working with financial market data or alternative data
• Familiarity with the ESG space
• Experience with git
• Competitive salary + generous bonuses
• Extra perks including a personal development allowance and sponsorship
• Central London office with a very smart, friendly tech team
• Flat-structured, transparent and collaborative environment, ‘no-attitude’ culture
• Regular social events, plus annual company trips and team offsites