Quantitative Developer Python SQL

Client Server

14 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Compensation

£ 90K

Job location

Remote

Tech stack

Big Data

Code Review

Databases

Continuous Integration

DevOps

Python

Pair Programming

SQL Databases

Pandas

Information Technology

Job description

Quantitative Developer / Software Engineer (Python SQL) London / WFH to £90k

Are you a data savvy Quantitative Developer with strong Python skills looking for an opportunity to progress your career, working closely with traders on complex trading strategies with huge earning potential?

You could be joining a Hedge Fund with over $10 billion under management.

As a Quantitative Developer you'll implement, test and maintain pricing models and risk infrastructure, writing production quality Python code with a strong emphasis on readability, performance and testing across Fixed Income and Derivatives products including IR, FX, Bonds and Options, partnering with Quants to understand requirements and translate them into robust, well engineered solutions.

You'll join a collaborative team and participate in code reviews, Pair Programming and technical design discussions.

This is a great opportunity for a Quantitative Developer who is interested in working closely with the business and gain an indepth understanding of systematic trading.

WFH Policy: You'll join colleagues in the London office Tuesday to Thursday with Monday and Friday work from home; there's a friendly and collaborative environment with casual dress code and a range of facilities.

Requirements

You're a Software Engineer / Developer with strong Python coding skills including Pandas and other numerical libraries
You have experience with database languages such as SQL and KDB / other
You are familiar with CI/CD and DevOps tools
You're highly numerate with a good understanding of mathematics, comfortable working with large data sets
You have an interest in systematic trading systems and are keen to learn and progress in this area, previous financial services experience is nice to have
You're collaborate and have excellent communication and interpersonal skills
You're degree educated in a STEM discipline e.g. Computer Science or Mathematics