Enable job alerts via email!

Quantitative Developer - Multi-Strategy Hedge Fund

Certus Sales Recruitment

Greater London

Hybrid

GBP 150,000 - 200,000

Full time

30+ days ago

Boost your interview chances

Create a job specific, tailored resume for higher success rate.

An innovative multi-strategy hedge fund is on the lookout for a talented Quantitative Developer to join their dynamic team. This role presents an exceptional opportunity to leverage your expertise in credit products and financial analytics, contributing to the development of advanced financial tools that drive trading strategies. You'll be working in a hybrid environment, collaborating closely with traders and quantitative analysts to create scalable and maintainable solutions. If you're eager to make a significant impact in a fast-paced setting, this position is perfect for you!

3+ years of experience in developing financial tools, especially in credit products.
Strong proficiency in Python and related libraries for financial analytics.

Develop research toolkits and frameworks for credit products and analytics.
Collaborate with traders to build tools supporting trading strategies.

Python

Pandas

NumPy

Python-Dash

SQL

Credit Derivatives Knowledge

Financial Analytics

Bachelor’s degree in Computer Science

Bachelor’s degree in Software Engineering

Bloomberg

ICE

LSEG

Quantitative Developer – Multi-Strategy Hedge Fund

London – Hybrid

Contract – c£1100 - £1400 per day

Our client, a rapidly growing multi-strategy hedge fund, is seeking an experienced Quantitative Developer with expertise in credit products. This role offers an exciting opportunity to contribute to a high-performing team by developing cutting-edge financial tools and analytics.

Duties:

Develop research toolkits for credit products and related analytics.
Design and implement risk and analytics frameworks for financial instruments.
Build and enhance P&L and attribution tools to support trading strategies.
Develop dashboards for visualising performance, risk, and key metrics.
Automate operational processes to improve efficiency across teams.
Collaborate with traders and quantitative analysts to deliver business solutions.
Write robust, production-level code with a focus on reliability and performance.
Ensure all developed solutions are scalable and maintainable within the tech stack.

Requirements:

Bachelor’s degree in Computer Science, Software Engineering, or a related field.
3+ years of experience developing financial tools, particularly in credit-related products.
Strong Python skills, with experience using Pandas, NumPy, and Python-Dash.
Knowledge of fixed income risk, P&L attribution analysis, and credit derivatives.
Experience with SQL for querying databases and integrating data sources.
Familiarity with financial data vendors such as Bloomberg, ICE, and LSEG.
Hands-on experience in developing and implementing credit models.
Ability to work in a fast-paced, collaborative environment with trading teams.

If you are ready to take your career to the next level and make a significant impact, apply now!

Get your free, confidential resume review.

or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.