Quantitative Developer

Jobleads
London
2 weeks ago
Create job alert

At SEI we value our employees and believe in driving growth through change. Part of building brave futures is making a concerted effort to develop and challenge our employees to achieve their goals through internal job mobility.

Quantitative Investment Management (QIM) team manages over 50 equity strategies across a variety of geographies, investment styles and risk/return profiles. The team is experiencing strong asset and account growth, requiring further investment into people, data, and tools.

Quantitative Developer, Investment Management Unit, Quantitative Investment Management, London

SEI is seeking to hire a Quantitative Developer to develop, enhance and support platforms and tools that facilitate signal research, portfolio construction, performance attribution and reporting.

What you will do:

  1. Infrastructure (40%):Design, develop, and maintain high-quality, scalable systems using industry best practices, SOLID principles, and design patterns where applicable. Enhance and optimize systems for equity factor modelling, portfolio construction, trading, and reporting.
  2. Pipelines (20%):Identify and implement performance optimizations for data pipelines and processing workflows.
  3. Production (20%):Oversee the maintenance and operational stability of investment process systems and production jobs.
  4. Communication (20%):Ensure comprehensive documentation for applications, including system architecture and design specifications. Collaborate closely with senior developers to drive innovation and efficiency.

What we need from you:

  1. 3+ years of professional development experience in a commercial environment, preferably from a quant equity setup.
  2. Proficiency in Python (3.9+), with experience in system architecture and application development.
  3. Good knowledge of multi-processing and multi-threaded programming.
  4. Solid understanding of design patterns, SOLID principles, and unit testing practices.
  5. 2+ years of experience with SQL, including query optimization and execution plan analysis.
  6. Experience with auditing, and CI CD processes, Bitbucket (Github), Team City, setup and create pipelines.
  7. Proficiency in data modelling, data management processes, and data profiling.
  8. Experience in developing APIs and working with WebSockets.
  9. Knowledge of React, Django, FastAPI, or equivalent technologies.
  10. Previous experience with AirFlow, Linux shell commands and setup websites on IIS.

What we would like from you:

  1. Bachelor’s or Master’s degree in a relevant field.
  2. Creative and solutions-oriented, with the ability to excel in a fast-paced, self-starting environment.
  3. Exceptional analytical skills with a strong attention to detail.
  4. Strong problem-solving ability and a results-driven mindset.
  5. A collaborative and proactive approach, with a "roll-up-your-sleeves" attitude.
  6. Ability to explain results and model features to non-technical audiences.
  7. Someone who will embody our SEI Values of courage, integrity, collaboration, inclusion, connection and fun.

SEI is an Equal Opportunity Employer and so much more…

After over 50 years in business, SEI remains a leading global provider of investment processing, investment management and investment operations solutions. Reflecting our experience within financial services and financial technology our UK office is based between the City of London and the growing technology hub of Shoreditch. The open plan nature of our office space, flowing lines and numerous art installations are designed to encourage innovation and creativity in our workforce. We recognise that our people are our most valuable asset and are (literally) invested in your success; we know that a healthy, happy and motivated workforce is key to our continued growth. We are focused on ensuring a healthy work-life balance and offer our employees benefits which include private medical care for you and your family, access to GPs online for appointments, enhanced family leave, volunteer days, access to thriving employee networks and not forgetting free fruit twice a week.

SEI Investments (Europe) Limited (‘SIEL’) is authorised and regulated by the Financial Conduct Authority (FRN 191713).

#J-18808-Ljbffr

Related Jobs

View all jobs

Quantitative Developer - C#

Quantitative Developer

Quantitative Developer - Cross Asset Risk

Quantitative Developer C# .Net SQL Maths

Quantitative Developer - RELOCATION TO MADRID

Quantitative Developer

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.

Jobs

Data Science Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data science has become an indispensable cornerstone of modern business, driving decisions across finance, healthcare, e-commerce, manufacturing, and beyond. As organisations scramble to capitalise on the insights their data can offer, data scientists and machine learning (ML) experts find themselves in ever-higher demand. In the UK, which has cultivated a robust ecosystem of tech innovation and academic excellence, data-driven start-ups continue to blossom—fuelled by venture capital, government grants, and a vibrant talent pool. In this Q3 2025 Investment Tracker, we delve into the newly funded UK start-ups making waves in data science. Beyond celebrating their funding milestones, we’ll explore the job opportunities these investments have created for aspiring and seasoned data scientists alike. Whether you’re interested in advanced analytics, NLP (Natural Language Processing), computer vision, or MLOps, these start-ups might just offer the career leap you’ve been waiting for.

Jobs

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.