At a Glance
- Tasks: Design and build innovative analytics services using cutting-edge technology.
- Company: Join Point72, a leader in global asset management and technology innovation.
- Benefits: Enjoy fully-paid healthcare, generous leave policies, and tuition assistance.
- Other info: Collaborate with experts and grow your career in a supportive, ethical workplace.
- Why this job: Make a real impact in finance while advancing your tech skills in a dynamic environment.
- Qualifications: 3-10 years of C# backend development experience with a focus on distributed systems.
The predicted salary is between 63000 - 77000 £ per year.
A Career with Point72’s Technology Team
As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications.
As a member of Point72’s Technology team, we encourage and support your professional development from day one, helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity; all while delivering real business impact for our multi-billion-dollar global business.
What you’ll do
- Design, build, and extend core C# analytics services, APIs, and libraries used across the Macro business.
- Develop and operate high-performance distributed systems with strong guarantees around correctness, latency, and scalability.
- Build real-time and historical analytics services supporting pricing, risk, and global market data workflows.
- Design and maintain time-aware (historical and real-time) data models and services, ensuring consistency across analytics use cases.
- Develop and integrate derived data pipelines and datasets used in research, backtesting, and production analytics.
- Contribute to API design, data modeling, and system architecture for shared analytics platforms.
- Integrate analytics services with batch and streaming data pipelines across research and trading workflows.
- Partner closely with quants and portfolio managers to translate investment requirements into robust platform capabilities.
- Contribute to system reliability through testing, monitoring, and operational best practices.
- Participate in code reviews and technical discussions to improve design, performance, and maintainability.
What’s required
- 3–10 years of experience developing production-quality backend software in C#, with a strong focus on distributed systems and APIs (REST/gRPC).
- Proven experience designing, deploying, and supporting backend services or platforms in cloud or hybrid environments.
- Strong understanding of distributed system design, including data modeling, consistency, and time-series or event-driven architectures.
- Hands-on experience with streaming and messaging systems, such as Kafka, and building scalable data pipelines with derived data generation and persistence.
- Familiarity with containerized environments, such as Kubernetes, and modern data and storage technologies.
- Solid grasp of SDLC best practices, including testing, code coverage, monitoring, and operational support in production systems.
- Experience with Python and exposure to C++, particularly in performance- or analytics-oriented contexts.
- Aware of financial markets and instruments, including rates, FX, and derivatives, and how pricing and risk analytics are applied.
- Strong communication and collaboration skills, with the ability to work closely with investment professionals.
- Commitment to the highest ethical standards.
We take care of our people
We invest in our people, their careers, their health, and their well-being. When you work here, we provide:
- Fully-paid health care benefits
- Generous parental and family leave policies
- Mental and physical wellness programs
- Volunteer opportunities
- Non-profit matching gift program
- Support for employee-led affinity groups representing women, minorities and the LGBT+ community
- Tuition assistance
- A 401(k) savings program with an employer match and more
About Point72
Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking.
The annual base salary range for this role is $200,000-$300,000 (USD), which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
Software Engineer, Macro Quant Analytics Technology in London employer: Point72 Asset Management, L.P
At Point72, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. As a Senior C++ Quant Analytics Engineer in our London office, you will have access to cutting-edge technology and the opportunity to work alongside top-tier professionals in the finance industry, ensuring your skills are continuously developed. With a strong emphasis on employee growth and a commitment to work-life balance, Point72 stands out as an exceptional employer for those seeking meaningful and rewarding careers.
Contact Details:
Point72 Asset Management, L.P Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer, Macro Quant Analytics Technology in London
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We think you need these skills to ace Software Engineer, Macro Quant Analytics Technology in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Point72 Asset Management, L.P.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Point72 Asset Management, L.P and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
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How to prepare for a job interview at Point72 Asset Management, L.P
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Point72 Asset Management, L.P uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
