Software Engineer – Quantitative Analytics Team

Pharo Management; London; On-site; USD 60,000 - 100,000; Full time

Job summary

An established industry player is looking for a talented Software Engineer to join their Quantitative Analytics Team. This dynamic role offers the chance to work on both front-end and back-end application development, infrastructure, and data engineering. You will be involved in the full software development lifecycle, collaborating closely with quantitative analysts and other teams to drive technology and innovation. This is a unique opportunity to have the variety and technical ownership of a start-up while benefiting from the resources of a successful hedge fund. If you are passionate about technology and eager to make an impact, this role is perfect for you.

Qualifications

• 2-5 Jahre Python-Entwicklungserfahrung in einem professionellen Umfeld.
• Abschluss in Informatik oder einem anderen relevanten technischen Bereich.

Responsibilities

• Teilnahme am gesamten Softwareentwicklungszyklus: Design, Build, Test, Deployment und Wartung.
• Enger Austausch mit Quant-Analysten zur Wertschöpfung.

Skills

Python Development

Version Control (Git)

Strong Work Ethic

Team Spirit

Education

Degree in Computer Science

Tools

Azure

React

DevOps

Kubernetes

Terraform

Airflow

Docker

SQL

Job description

Software Engineer – Quantitative Analytics Team

Company:

Pharo Management is a leading global macro hedge fund with a focus on emerging markets. Founded in 2000, the firm has offices in London, New York and Hong Kong and currently manages $7 billion in assets across four funds. Pharo trades foreign exchange, sovereign and corporate credit, local market interest rates, commodities, and their derivatives. We trade in over 70 countries across Asia, Central and Eastern Europe, the Middle East and Africa, Latin America as well as developed markets. Our investment approach combines macroeconomic fundamental research and quantitative analysis.

Pharo employs a diverse, dynamic team of 125 professionals representing over 20 nationalities and 30 languages. We have a strong corporate culture anchored in core values such as collaborative spirit, creativity, and respect.We are passionate about what we do and are committed to attracting the best and brightest talent.

This is a great opportunity to join a market leader, and contribute to our continued success.

Job description:

We are seeking a talented engineer to join our quantitative analytics team. The quant team is responsible for providing valuation and risk calculations for all products traded by the firm (primarily rates, foreign exchange and credit) across a variety of applications. The team is implementing a new quantitative analytics library and are looking for an individual to drive the technology. This is a dynamic role which will give you the opportunity to work on front-end and back-end application and library development, as well as infrastructure, DevOps and data engineering.

This is the perfect role for an engineer seeking the variety and technical ownership of a start-up, with the resources of a successful, well-established firm.

Responsibilities:

• Participate across the full software development lifecycle (design, build, test, deploy and maintain)
• Collaborate closely with the quant analysts, finding opportunities to use your expertise to add value
• Collaborate with other teams in sharing your engineering expertise

Required qualities and skills:

• Degree in computer science or other relevant technical discipline
• 2-5 years of Python development experience in a professional environment. C++ experience is not required but would be useful
• Version control using Git
• Experience in any other element of our stack will help your application, but is not required:
• Development in Azure, or another cloud provider
• Frontend development with React or another modern web framework
• DevOps
• Kubernetes
• Infrastructure engineering with Terraform, Pulumi or similar
• Data workload orchestration with Airflow or similar
• Containerisation with Docker
• Experience with SQL, as well as relational database design and administration
• Experience in other tools not listed is also a plus
• Strong work ethic and team spirit