At a Glance
- Tasks: Develop cutting-edge analytics tools and automate processes for investment and trading.
- Company: Join a leading investment firm with a focus on innovation and technology.
- Benefits: Competitive salary, career progression, and exposure to diverse challenges.
- Other info: Dynamic environment with excellent opportunities for growth and learning.
- Why this job: Make an impact in finance while working with advanced tech in a collaborative team.
- Qualifications: 3-6 years in quantitative development with strong Python skills.
The predicted salary is between 50000 - 70000 £ per year.
We are partnering with a leading investment firm to appoint a Quant Engineer to join a high-performing team focused on developing analytics, automation, and technology solutions that support investment and trading activities. This is an excellent opportunity for an engineer with a passion for financial markets and technology to work on a broad range of projects across quantitative research, risk analytics, data engineering, and process automation.
Key Responsibilities
- Develop quantitative research tools and analytics frameworks.
- Design and enhance risk models and performance attribution capabilities.
- Build dashboards and reporting solutions to provide insights into portfolio and trading activity.
- Automate business processes and workflows to improve efficiency.
- Collaborate with investment, risk, and operations teams to deliver scalable technology solutions.
- Write high-quality, production-grade code with a focus on reliability, maintainability, and performance.
- Contribute to both strategic initiatives and day-to-day development projects.
Requirements
- 3–6 years' experience in quantitative development, software engineering, or a similar technical role.
- Strong Python programming skills are essential and will be a key requirement for this position. Candidates should be highly proficient in Python and comfortable building production-quality applications and analytics tools.
- Experience with Python libraries such as Pandas, NumPy, SciPy, Numba, or other data science frameworks would be advantageous.
- Exposure to financial markets, fixed income products, or credit instruments would be beneficial, although not essential.
- Strong analytical and problem-solving skills.
- Ability to manage multiple priorities and thrive in a fast-paced environment.
- A proactive mindset with a genuine interest in technology and continuous learning.
- Excellent communication and stakeholder management skills.
What's on Offer
- Opportunity to join a growing and entrepreneurial investment platform.
- Exposure to a broad range of quantitative and engineering challenges.
- Collaborative and high-performing environment.
- Excellent career progression and development opportunities.
Quantitative Developer in London employer: Elevate Partners
Join a leading investment firm that champions innovation and collaboration, offering a dynamic work culture where your passion for financial markets and technology can thrive. With excellent career progression opportunities and exposure to diverse quantitative challenges, you'll be part of a high-performing team dedicated to developing cutting-edge analytics and automation solutions. This role not only promises meaningful work but also fosters continuous learning in a supportive environment.
