Quantitative Researcher

OxFORD Asset Management LLP; Oxford; On-site; GBP 40,000 - 60,000; Full time

Job summary

A tech-driven firm in Oxford seeks talented researchers to build quantitative models. Engage in solving complex mathematical problems in a collaborative environment. The role offers excellent compensation and professional development opportunities, appealing to those with strong numerical skills without requiring prior financial experience.

Benefits

Professional development opportunities

Collaborative team environment

Social activities for team building

Qualifications

• Demonstrable research excellence in a relevant numerical field.
• Proficiency in Python is required.

Responsibilities

• Build quantitative models to forecast stock returns.
• Apply various Mathematical techniques to complex data sets.

Skills

Research excellence

Python

Education

Mathematics

Computer Science

Physics

Job description

We are seeking talented researchers who thrive on solving challenging Mathematical problems in a friendly, collaborative, team-oriented environment.

You will join our group of world-class researchers building quantitative models to forecast stock returns, working from the initial idea-generation stage through to implementation and execution. Your research will involve applying a wide variety of Mathematical techniques to large and complex data sets, and you will get to see how your models perform in real-time. In return, you will receive exceptional compensation and benefits.

We want to hear from you if you are practical, ambitious, dynamic, and thrive on challenge. Previous financial experience is not necessary.

Requirements

• Demonstrable research excellence in a relevant numerical field such as Mathematics, Computer Science, or Physics
• Python

Beneficial experience

• Statistical inference with large data sets
• Numerical and time series analysis
• Machine learning
• High performance computing

Who are we?

We are a technology-driven company of smart people who like to solve tough problems using state-of-the-art techniques and software. Our small team provides plenty of scope to learn new skills, and presents a variety of challenges to keep work interesting. We are based in the centre of Oxford, and have an informal work environment with excellent opportunities for professional development as well as diverse team-building social activities.

We want to hear from you if you would like to be part of an exceptional team, are ambitious and would relish the challenge. We offer excellent compensation and benefits, and are a collaborative, open, and friendly team.