Treasury Quantitative Developer - Data Engineer
Treasury Quantitative Developer - Data Engineer

Treasury Quantitative Developer - Data Engineer

London Full-Time 60000 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join a dynamic team to enhance back-end systems for high-performance cash calculations.
  • Company: Be part of a leading financial services firm with a global presence.
  • Benefits: Enjoy flexible working options and a collaborative, innovative culture.
  • Why this job: Work on impactful projects while collaborating with top-tier professionals across major cities.
  • Qualifications: 5+ years in Python development; degree in computer science or related field required.
  • Other info: Opportunity to work with cutting-edge technologies in a fast-paced environment.

The predicted salary is between 60000 - 84000 £ per year.

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.

Treasury Quantitative Developer - Data Engineer employer: Millennium Management

As a Treasury Quantitative Developer at our London office, you will thrive in a dynamic and collaborative environment that values innovation and excellence. We offer competitive benefits, a strong focus on employee development, and the opportunity to work alongside industry experts in a vibrant city known for its financial prowess. Join us to advance your career while contributing to impactful projects that drive our business forward.
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Contact Detail:

Millennium Management Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Treasury Quantitative Developer - Data Engineer

✨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 treasury or quantitative roles. 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 algorithm design. This practical experience can set you apart from other candidates when discussing your capabilities.

✨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 in mock interviews or discussions.

We think you need these skills to ace Treasury Quantitative Developer - Data Engineer

Python Programming
Object-Oriented Programming (OOP)
Cloud Technologies
RDBMS (Postgres preferred)
Data Lakes
DuckDB
NoSQL Databases
Design Patterns
Algorithms
Data Structures
Git / GitHub
CI/CD Pipelines
Effective Communication
Detail Orientation
Organisational Skills
Strong Ownership of Work

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 RDBMS, 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 Treasury Quantitative 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 requires effective communication with senior stakeholders, include examples in your application that demonstrate your ability to convey complex technical information clearly and concisely.

Showcase Problem-Solving Abilities: Provide examples of how you've tackled challenges in fast-paced environments. Detail your approach to problem-solving, especially in relation to margin and stress cash calculations, to illustrate your fit for the role.

How to prepare for a job interview at Millennium Management

✨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 expertise.

✨Understand the Business Context

Familiarise yourself with Treasury cash management and margin methodologies. Being able to speak knowledgeably about these topics will show that you understand the business side of the role and can 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 well as your ability to work independently in a fast-paced environment.

✨Communicate Clearly and Confidently

Practice articulating your thoughts clearly, especially when discussing technical concepts. Effective communication is key, so ensure you can explain your ideas in a way that is accessible to non-technical stakeholders as well.

Treasury Quantitative Developer - Data Engineer
Millennium Management
M
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