Quantitative Developer - Risk Technology. (London)
Quantitative Developer - Risk Technology. (London)

Quantitative Developer - Risk Technology. (London)

Full-Time 48000 - 72000 £ / year (est.) No home office possible
M

At a Glance

  • Tasks: Join our Risk Technology team to develop risk analytics solutions using Python and AWS.
  • Company: Millennium is a leading global hedge fund focused on technology and data science.
  • Benefits: Enjoy a dynamic work environment with opportunities for remote work and professional growth.
  • Why this job: Be part of a collaborative team that drives impactful financial insights and innovation.
  • Qualifications: Bachelor’s degree in a relevant field and 2+ years of experience in Python and data analysis.
  • Other info: Ideal for tech-savvy individuals passionate about finance and risk management.

The predicted salary is between 48000 - 72000 £ per year.

Millennium is a top tier global hedge fund with a strong commitment to technology and data science. We are looking for a Quantitative Developer to join our Risk Technology team in London. The developer will use Python, AWS and data manipulation libraries to provide risk managers with data-driven insights on our fund’s risk profile.

Responsibilities

  • Work closely with quants, risk managers and other technologists in New York, Tel Aviv and Singapore to develop risk analytics solutions for our Fixed-Income business.
  • Develop micro-services, data ingestion pipelines and APIs to feed tools and dashboards that monitor Millennium’s market risks.
  • Analyse data with pandas/polars to present data in the most impactful way possible.
  • Create and manage cloud applications using AWS.

Required skills/experience

  • Bachelor’s degree in Computer Science, Mathematics, Engineering or similar, from a leading university.
  • Passion for working in finance, and broad understanding of financial instruments and services.
  • Strong analytical skills & problem-solving capabilities.
  • Ability to work independently in a fast-paced environment.
  • Minimum 2 years’ experience working with Python, and data analysis libraries (Pandas/Polars/Numpy).
  • Experience with REST APIs and cloud services.
  • Relational SQL database development experience.
  • Unix/Linux command-line experience.
  • Detail oriented, organised, demonstrating thoroughness and strong ownership of work.

Desirable skills/experience

  • Experience with financial mathematics and risk modelling.
  • Prior experience working directly with risk management/trading functions.
  • Experience in Java development.

Quantitative Developer - Risk Technology. (London) employer: Millennium Management

Millennium is an exceptional employer that fosters a dynamic and collaborative work culture, where innovation and technology are at the forefront of our operations. Located in London, we offer our Quantitative Developers not only competitive compensation but also extensive opportunities for professional growth and development within a global network of experts. Join us to be part of a team that values data-driven insights and empowers you to make a significant impact in the world of finance.
M

Contact Detail:

Millennium Management Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Quantitative Developer - Risk Technology. (London)

✨Tip Number 1

Familiarise yourself with the specific technologies mentioned in the job description, such as Python, AWS, and data manipulation libraries like Pandas and Polars. Consider building a small project or contributing to open-source projects that showcase your skills in these areas.

✨Tip Number 2

Network with professionals in the finance and technology sectors, especially those who work in risk management or quantitative development. Attend industry meetups or webinars to connect with potential colleagues and learn more about the role.

✨Tip Number 3

Stay updated on the latest trends in risk technology and quantitative analysis. Follow relevant blogs, podcasts, or online courses to deepen your understanding of financial instruments and risk modelling, which will help you stand out during interviews.

✨Tip Number 4

Prepare for technical interviews by practising coding challenges related to Python and data analysis. Websites like LeetCode or HackerRank can be great resources to sharpen your problem-solving skills and get comfortable with the types of questions you might face.

We think you need these skills to ace Quantitative Developer - Risk Technology. (London)

Proficiency in Python
Experience with data analysis libraries (Pandas, Polars, Numpy)
Strong analytical skills
Problem-solving capabilities
Experience with REST APIs
Cloud application development using AWS
Relational SQL database development
Unix/Linux command-line proficiency
Attention to detail
Organisational skills
Ability to work independently
Understanding of financial instruments and services
Experience in risk analytics solutions
Knowledge of financial mathematics and risk modelling

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with Python, data analysis libraries, and any relevant projects. Emphasise your analytical skills and problem-solving capabilities, as these are crucial for the role.

Craft a Strong Cover Letter: In your cover letter, express your passion for finance and technology. Mention specific experiences that demonstrate your ability to work independently in fast-paced environments and your familiarity with financial instruments.

Showcase Relevant Projects: If you have worked on projects involving risk analytics, cloud applications, or data manipulation, be sure to include these in your application. Use concrete examples to illustrate your skills and contributions.

Highlight Team Collaboration: Since the role involves working closely with teams across different locations, mention any previous experiences where you collaborated with others, especially in tech or finance settings. This will show your ability to work effectively in a team.

How to prepare for a job interview at Millennium Management

✨Showcase Your Technical Skills

Be prepared to discuss your experience with Python and data manipulation libraries like Pandas and Polars. You might be asked to solve a coding problem or explain how you've used these tools in past projects, so brush up on your technical knowledge and be ready to demonstrate your skills.

✨Understand the Financial Context

Since this role is within risk technology, it's crucial to have a solid understanding of financial instruments and risk management concepts. Familiarise yourself with the basics of fixed-income products and how they relate to risk analytics to impress your interviewers.

✨Prepare for Behavioural Questions

Expect questions that assess your problem-solving abilities and how you handle fast-paced environments. Think of examples from your previous work where you demonstrated strong analytical skills and ownership of your projects, as these will highlight your fit for the role.

✨Demonstrate Collaboration Skills

This position involves working closely with teams across different locations. Be ready to discuss your experience collaborating with quants, risk managers, and technologists. Highlight any successful projects where teamwork played a key role in achieving results.

Quantitative Developer - Risk Technology. (London)
Millennium Management
M
Similar positions in other companies
UK’s top job board for Gen Z
discover-jobs-cta
Discover now
>