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- Tasks: Join us to develop high-performance back-end systems for cash calculations and simulations.
- Company: Be part of a leading financial services firm with a global presence.
- Benefits: Enjoy flexible working options, competitive salary, and opportunities for professional growth.
- Why this job: Work in a dynamic environment, collaborating with top-tier professionals across major cities.
- Qualifications: 5+ years in Python development, a degree in computer science, and cloud tech experience required.
- Other info: Ideal for detail-oriented individuals who thrive in fast-paced settings.
The predicted salary is between 60000 - 84000 £ per year.
Treasury Quantitative Developer – Data Engineer Responsibilities Take part in the development and enhancement of the back-end distributed system, providing high performance and high availability margin and stress cash calculations and simulations to Senior Management, Portfolio Managers and Treasurers. Work closely with Quant researchers and developers, tech teams, middle office and business management teams in London, New York, Tel Aviv & Miami. Design, develop and maintain data models, pipelines and warehouse and caching stores Requirements Must-have qualifications/skills: Minimum 5+ years of experience developing systems in Python or other OOP background with Python knowledge. B.A. in computer science or another quantitative field. Experience with Cloud technologies Experience working with RDBMS (Postgres preferred) and other database technologies (data lakes, DuckDB, NoSQL) Good understanding of Design Patterns, Algorithms & Data structures Experience working with Git / GitHub and with CI/CD pipelines Ability to communicate effectively with senior stakeholders across the organization Able to work independently in a fast-paced environment. Detail oriented, organised, demonstrating thoroughness and strong ownership of work. Nice-to-have qualifications/skills: Knowledge of Treasury cash management and margin methodologies Experience in the financial services #J-18808-Ljbffr
Quant Data Developer employer: Millennium
Contact Detail:
Millennium Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Data Developer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Python, RDBMS, and cloud technologies. Being able to discuss your hands-on experience with these tools during interviews will demonstrate your suitability for the role.
✨Tip Number 2
Network with professionals in the financial services sector, especially those who work in quantitative development or data engineering. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 3
Prepare to showcase your problem-solving skills by working on relevant projects or case studies that involve data modelling and pipeline development. Being able to present these examples during your interview can set you apart from other candidates.
✨Tip Number 4
Brush up on your communication skills, particularly in explaining complex technical concepts to non-technical stakeholders. This is crucial for the role, so practice articulating your thoughts clearly and concisely to demonstrate your ability to bridge the gap between tech and business.
We think you need these skills to ace Quant Data Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and any relevant OOP background. Emphasise your familiarity with cloud technologies and database management, particularly Postgres, as these are key requirements for the role.
Craft a Strong Cover Letter: In your cover letter, explain how your skills align with the responsibilities of the Quant Data Developer position. Mention specific projects where you've developed data models or worked with CI/CD pipelines to showcase your hands-on experience.
Highlight Communication Skills: Since the role involves working with senior stakeholders, make sure to include examples of how you've effectively communicated complex technical concepts in previous roles. This will demonstrate your ability to engage with various teams.
Showcase Problem-Solving Abilities: Provide examples in your application that illustrate your problem-solving skills, especially in fast-paced environments. Discuss any challenges you've faced in past projects and how you overcame them, particularly in relation to data engineering.
How to prepare for a job interview at Millennium
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and other OOP languages in detail. Highlight specific projects where you've developed systems, especially those involving data models or pipelines, as this will demonstrate your technical expertise.
✨Understand the Business Context
Familiarise yourself with Treasury cash management and margin methodologies. Showing that you understand the financial services context can set you apart from other candidates and demonstrate your commitment to the role.
✨Communicate Effectively
Since the role involves liaising with senior stakeholders, practice articulating complex technical concepts in a clear and concise manner. This will help you convey your ideas effectively during the interview.
✨Demonstrate Problem-Solving Skills
Prepare to discuss how you've tackled challenges in previous roles, particularly in fast-paced environments. Use examples that showcase your attention to detail and ability to work independently while maintaining high standards.
