Senior Front-Office Quant Developer — Python & Data

Man Group

Massachusetts

On-site

USD 150,000 - 170,000

Full time

5 days ago
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Benefits offered by this job

Two annual Mankind days
Private medical coverage
Pension/401k

Job summary

Man Group is seeking a Senior Quantitative Developer for the Front-office Engineering team in Massachusetts. You will collaborate with Quant Researchers and Portfolio Managers, onboarding data, implementing trading signals, and building optimization tools.

The role emphasizes performance tuning, data visualization, and scalable analytics on Linux and cluster environments. You will work with Python, Pandas, NumPy, SciPy, and related libraries, as well as Java for high-throughput components, and

Qualifications

  • 5-7 years of professional software engineering experience with quantitative focus.
  • Excellent knowledge of Python and Pandas with scientific computing libraries.
  • Experience building production systems with testing, monitoring, deployment best practices.
  • Strong Linux, Git, and database skills (SQL/NoSQL).

Responsibilities

  • Onboard new datasets and data sources for modeling and research.
  • Implement new trading signals and portfolio optimization tools.
  • Develop data visualization frameworks and improve analytics platform.
  • Performance-tune existing code and optimize computational efficiency on clusters.

Skills

5-7 years software engineering
Quantitative applications
Python
Pandas
NumPy
SciPy
statsmodels
scikit-learn

Education

Degree with strong math & computing content

Tools

Linux
Git
MongoDB
MS SQL
PostgreSQL
Kubernetes
Spark
Dask
Redis
OpenStack
Airflow
Kafka
Jenkins
Grafana

Job description

Man Group is seeking a Senior Quantitative Developer for the Front-office Engineering team in Massachusetts. You will collaborate with Quant Researchers and Portfolio Managers, onboarding data, implementing trading signals, and building optimization tools.

The role emphasizes performance tuning, data visualization, and scalable analytics on Linux and cluster environments. You will work with Python, Pandas, NumPy, SciPy, and related libraries, as well as Java for high-throughput components, and

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