Quant Developer - ESG/RI- Tech-Driven Global Hedge Fund

Oxford Knight; London; On-site; GBP 50,000 - 80,000; Full time

Job summary

A leading global hedge fund is seeking a Quant Developer to join their Responsible Investment Tech team. The role involves developing innovative solutions for ESG initiatives, leveraging diverse technologies. Ideal candidates will have strong Python skills, a solid background in data handling, and a degree from a top-tier university.

Benefits

Competitive salary + generous bonuses

Personal development allowance

Sponsorship opportunities

Central London office

Regular social events

Qualifications

• Expert programming experience in Python required.
• Solid Linux platform experience with various scripting languages.
• Degree from a top-tier university with high mathematical and computing content.

Responsibilities

• Collaborate with the Responsible Investment team on technology projects.
• Work on onboarding vendor ESG datasets for research and reporting.
• Develop Python APIs for accessible ESG data.

Skills

Python

Linux

Agile methods

Data handling

Education

Degree in Computer Science

Degree in Mathematics

Degree in Engineering

Degree in Physics

Tools

MongoDB

PostgreSQL

Snowflake

Oracle

Microsoft SQL Server

Git

Job description

Quant Developer - ESG/RI- Tech-Driven Global Hedge Fund

The Client

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

Benefits

• 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

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Contact
To apply for this role, or for further information, please contact:

Maia Ellis
[e-mail]
020 3745 6539
linkedin.com/in/maia-ellis-38a577193

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