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- Tasks: Join our team to enhance back-end systems for high-performance cash calculations and simulations.
- Company: Be part of a leading financial services firm with a global presence in major cities.
- Benefits: Enjoy flexible working options, competitive salary, and opportunities for professional growth.
- Why this job: Work collaboratively with top-tier professionals and make a real impact in finance technology.
- 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 environments.
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 Developer/ Data Engineer employer: Millennium
Contact Detail:
Millennium Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Developer/ Data Engineer
✨Tip Number 1
Network with professionals in the finance and tech sectors, especially those who work in quantitative development. Attend industry meetups or webinars to connect with potential colleagues and learn more about the specific challenges they face.
✨Tip Number 2
Familiarise yourself with the latest cloud technologies and database systems mentioned in the job description. Consider taking online courses or certifications that can bolster your knowledge and demonstrate your commitment to staying current in the field.
✨Tip Number 3
Prepare to discuss your experience with design patterns, algorithms, and data structures in detail during interviews. Be ready to provide examples of how you've applied these concepts in previous projects, particularly in high-performance environments.
✨Tip Number 4
Showcase your ability to communicate effectively with senior stakeholders by preparing thoughtful questions and insights about the role and the company. This will demonstrate your interest and understanding of the business side of quantitative development.
We think you need these skills to ace Quant Developer/ Data Engineer
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 with RDBMS like Postgres.
Craft a Strong Cover Letter: In your cover letter, explain how your skills align with the responsibilities of the Quant Developer/Data Engineer role. Mention specific projects where you've developed data models or worked with CI/CD pipelines.
Showcase Relevant Experience: When detailing your work history, focus on your experience in developing high-performance systems and your ability to communicate with senior stakeholders. Use quantifiable achievements to demonstrate your impact.
Highlight Soft Skills: Since the role requires effective communication and the ability to work independently, include examples that showcase your organisational skills and attention to detail. This will help you stand out as a well-rounded candidate.
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 and pipelines, as this will demonstrate your technical proficiency.
✨Understand the Business Context
Familiarise yourself with Treasury cash management and margin methodologies. Showing that you understand the financial services context will impress interviewers and demonstrate your ability to communicate effectively with senior stakeholders.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss how you've tackled complex problems in previous roles. Use examples that showcase your understanding of design patterns, algorithms, and data structures, as these are crucial for a Quant Developer role.
✨Emphasise Collaboration Skills
Since the role involves working closely with various teams across different locations, highlight your experience in collaborative environments. Share examples of how you've successfully communicated and worked with cross-functional teams to achieve common goals.
