Quantitative Developer, Systematic Equities

Millennium; Greater London; On-site; GBP 60,000 - 100,000; Full time

Job summary

A leading investment management company seeks a Quantitative Developer for its London office. This role entails developing and optimizing technology for quantitative trading models, requiring strong expertise in programming and data analysis. Ideal candidates will collaborate closely with researchers and portfolio managers, contributing to the development of innovative trading solutions.

Qualifications

• Expert in Python programming and KDB/Q.
• Experience with data science tools like Jupyter, pandas, and numpy.
• 2+ years in algorithmic trading systems development.

Responsibilities

• Develop data engineering and prediction tools for systematic trading.
• Maintain tools for systematic trading and ensure data integrity.
• Implement systems for large-scale computation and monitoring.

Skills

Python

KDB/Q

Data Science

Quantitative Analysis

Machine Learning

Regression

Probability Theory

Education

Bachelor's or Master's degree in Computer Science, Mathematics, Statistics

Job description

Quantitative Developer, Systematic Equities

Join to apply for the Quantitative Developer, Systematic Equities role at Millennium

Quantitative Developer, Systematic Equities

Join to apply for the Quantitative Developer, Systematic Equities role at Millennium

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Quantitative Developer, Systematic Equities

We are seeking a quantitative developer to partner focus on the development and subsequent optimization of infrastructure supporting the overall development and production of quantitative trading models. The ideal candidate will work directly with the quantitative researcher(s) and senior portfolio manager.

This team member will be responsible for the implementation of technology to enable large-scale computational efforts in quantitative research, as well as related efforts, such as the preparation and transformation of data and other operational tasks.

Preferred Location

London or Dubai preferred

Principal Responsibilities

• Partner closely with the Portfolio Manager to develop data engineering and prediction tools primarily for the systematic trading of equities
• Develop software engineering solutions for quantitative research and trading
• Assist in designing, coding, and maintaining tools for the systematic trading infrastructure of the team
• Build and maintain robust data pipelines and databases that ingest and transform large amounts of data
• Develop processes that validate the integrity of the data
• Implementation and operation of systems to enable quantitative research (i.e. large scale computation and serialization frameworks)
• Live operation of such systems, including monitoring and pro-active detection of potential problems and intervention
• Stay current on state-of-the-art technologies and tools including technical libraries, computing environments and academic research
• Collaborate with the PM and the trading group in a transparent environment, engaging with the whole investment process
  

Preferred Technical Skills

• Expert in Python and/or KDB/Q
• Proficient in modern data science tools stacks (Jupyter, pandas, numpy, sklearn) with machine learning experience
• Good understanding of using Slurm or similar parallel computing tools
• Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related STEM field from top ranked University
• Proficient in quantitative analysis, mathematical modelling, statistics, regression, and probability theory
• Proficient in professional software development methodologies, version control systems, unit testing and debugging tools, and micro-services architecture
• Excellent communication, problem-solving, and analytical skills, with the ability to quickly understand and apply complex concepts
  
  

Preferred Experience

• 2+ years of experience in algorithmic trading systems development, preferably in systematic equity trading markets.
• Experience working with and centralizing multiple vendor data sets
• Experience collaborating effectively with cross functional teams, multitasking and adapting in a fast-paced environment
  
  

Highly Valued Relevant Experience

• Entrepreneurial mindset
• Ability to multitask and adapt
• Curiosity and eagerness to learn and grow professionally
• Self-motivated, detail-oriented, and able to work independently in a fast-paced environment
  
  

Target Start Date

ASAP

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Finance and Sales

• Industries

  Investment Management

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