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Quantitative Developer – Equity Factor Model

Millennium

London

On-site

GBP 180,000 - 350,000

Full time

10 days ago

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Job summary

An established industry player is seeking a talented Quantitative Developer to join their Equity Factor Risk Model Technology Team. This role focuses on building expertise in equity portfolio analytics, including the design and development of advanced risk models. The ideal candidate will have substantial experience in software development within finance, particularly with SQL and programming skills in R or Python. This position offers the opportunity to work in a dynamic environment, contributing to innovative projects that drive efficiency and enhance risk management processes. If you're passionate about technology and finance, this could be the perfect opportunity for you.

Qualifications

  • 5+ years of software development experience in finance or top-tier tech companies.
  • Advanced knowledge of SQL and programming skills in R or Python.
  • Experience designing data Lakehouse architecture is a plus.

Responsibilities

  • Design and develop equity portfolio analytics framework.
  • Implement internal process improvements and automate manual processes.
  • Collaborate with portfolio research team on analytics model integration.

Skills

Software Development
SQL
R Programming
Python Programming
Data Lakehouse Architecture
Statistics
Communication Skills
Equity Markets Knowledge

Education

Bachelor's Degree in Computer Science or related field

Tools

AWS Glue
AWS EMR
Spark
Trino

Job description

Quantitative Developer – Equity Factor Model

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Quantitative Developer – Equity Factor Model

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Millennium is looking for an exceptional individual to join the Equity Factor Risk Model Technology Team, which is responsible for designing and developing equity portfolio analytics framework, including MSCI Barra equity factor risk models.

Principal Responsibilities

  • Build expertise in Barra and proprietary factor risk models
  • Design and build data Lakehouse architecture
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data pipeline, re-designing infrastructure for greater scalability, etc.
  • Work with portfolio research team on the development and integration of new analytics models into the firm’s delivery platforms
  • Perform extensive back-testing of existing and new risk factor models
  • Support and run processes for risk management and equity portfolio research

Qualifications/Skills Required

  • Minimum of 5 years of software development experience in finance or top-tier technology companies.
  • Advanced working knowledge of SQL with at least 5 years of professional development experience.
  • Advanced R or Python programming skills with at least 5 years of professional development experience, including topics like OOP.
  • Experience designing and building data Lakehouse architecture is a significant plus.
  • Experience working with Spark and Trino/Spark compute, and expertise with open table formats such as Delta Lake and/or Iceberg is a significant plus.
  • Experience with AWS data services like AWS Glue and AWS EMR.
  • Strong working knowledge of statistics.
  • Broad understanding of equity markets and portfolio construction.
  • Strong communication skills, as this role involves direct communication with risk management and trading.
  • Detail-oriented, a quick learner, and able to adapt to a dynamic, high-paced environment.
  • Demonstrated track record of success in challenging environments.

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Finance and Sales
  • Industries
    Investment Management

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