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- Tasks: Develop risk analytics solutions and data pipelines for commodities trading.
- Company: Join Millennium, a leading global hedge fund focused on tech and financial maths.
- Benefits: Enjoy a dynamic work culture with opportunities for rapid career growth and innovation.
- Other info: Ideal for those passionate about finance and technology, with a focus on problem-solving.
- Why this job: Be part of a collaborative team delivering impactful solutions in a fast-paced environment.
- Qualifications: 3+ years in Python development; experience with AWS and databases required.
The predicted salary is between 54000 - 84000 £ per year.
Quantitative Developer – Risk Millennium is a top tier global hedge fund with a strong commitment to technology and financial mathematics, is looking for a quant developer to join its commodities risk technology team. The team works jointly with risk managers, trading teams, and operations and provides risk metrics and analytical tools to support the trading activity and to assess the risk exposure. Responsibilities Work closely with quants, risk managers and other technology teams in New York, Miami, London to develop risk analytics solutions for the commodities business Develop data ingestion pipelines and core API to provide risk management with ability to get access to analytics programmatically and also via visualization tools Work with risk management for rapid prototyping and tactical delivery of solutions. Fit into the active culture of Millennium, judged by the ability to deliver timely solutions to portfolio and risk managers within the firm. Mandatory Requirements 3+ years Python development experience (pandas, numpy, polars, jupyter notebooks, FAST API) Experience with AWS services, such as: S3, EC2, AWS Batch and Redshift Proficiency in relational and non-relational database technologies BA or Master in computer science/any other scientific fields Able to work independently in a fast-paced environment Strong analytical and problem-solving capabilities Detail oriented, organized, demonstrating thoroughness and strong ownership of work Experience with financial mathematics and statistics Preferred Requirements Prior experience of working directly with risk management/trading Proficiency in data science stack with Python. Experience in Java and/or Rust development Experience with Microsoft or Google cloud services #J-18808-Ljbffr
Quantitative Developer - Risk employer: Millennium
Contact Detail:
Millennium Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer - Risk
✨Tip Number 1
Network with professionals in the finance and technology sectors, especially those who work in risk management or quantitative development. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and learn more about the culture at Millennium.
✨Tip Number 2
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as AWS services and Python libraries like pandas and numpy. Consider building a small project that showcases your skills in these areas to demonstrate your practical knowledge during interviews.
✨Tip Number 3
Prepare for technical interviews by practising coding challenges that focus on Python and data structures. 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.
✨Tip Number 4
Research Millennium's approach to risk management and their recent projects or innovations in the commodities sector. Being able to discuss their work and how you can contribute will show your genuine interest in the role and the company.
We think you need these skills to ace Quantitative Developer - Risk
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Quantitative Developer - Risk position. Familiarise yourself with the technologies mentioned, such as Python, AWS services, and financial mathematics.
Tailor Your CV: Customise your CV to highlight relevant experience in Python development, data ingestion pipelines, and any previous work with risk management or trading teams. Use specific examples that demonstrate your analytical and problem-solving skills.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for technology and finance. Mention your experience with the required tools and how you can contribute to the commodities risk technology team at Millennium.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is accurate and clearly presented. A polished application reflects your attention to detail.
How to prepare for a job interview at Millennium
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python, especially libraries like pandas and numpy. Be prepared to discuss specific projects where you've used these skills, as well as your familiarity with AWS services and database technologies.
✨Understand the Role of Risk Management
Familiarise yourself with the basics of risk management in trading environments. Being able to articulate how your work as a quant developer can support risk managers and trading teams will demonstrate your understanding of the business context.
✨Prepare for Problem-Solving Questions
Expect to face analytical and problem-solving questions during the interview. Practice explaining your thought process clearly and concisely, as this will showcase your ability to tackle complex issues effectively.
✨Demonstrate Your Teamwork Skills
Since the role involves collaboration with various teams across different locations, be ready to share examples of how you've successfully worked in a team environment. Highlight your communication skills and adaptability in fast-paced settings.