Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
Responsibilities
- Work with portfolio management and risk teams to turn ideas into practical solutions, rapidly iterating from prototype to a production delivery
- Automate data retrieval and custom analytics, in various delivery formats, that combine internal and market data sources
- Design and build data visualizations and user interfaces to visualize data trends and facilitate custom workflows
- Fit into the active and dynamic culture of Millennium - the ability to deliver timely solutions to portfolio and risk managers, working within a diverse range of teams and technologies
- Partner with Fixed Income Management team to capture requirements, monitor delivery, and manage expectations
- Maintain, support, and improve capabilities as new requirements arise
- Advanced degree in computer science or any other scientific fields
- Experience with financial markets (rates/fx/credit)
- Experience with financial mathematics/modeling/statistics
- 3+ years of development experience with Python (pandas/numpy, etc.) or C++/Java
- Strong analytical skills
- Strong problem solving capabilities
- Experience working in a production environment
- Solid communication skills
- Able to work independently in a fast-paced environment
- Detail oriented, organized, demonstrating thoroughness and strong ownership of work
- Proficiency in data science stack with Python.
- Experience with cloud technologies