Senior Quantitative Developer - Front-Office Tech (Hybrid)

Man Group; Boston (MA); On-site; USD 150,000 - 170,000; Full time

Benefits offered by this job

Competitive compensation

Discretionary bonus

Pension/401k

Health benefits

Job summary

Man Group is seeking a Senior Quantitative Developer in the Front-office Engineering organization to collaborate with Quantitative Researchers and Portfolio Managers in Boston. You will onboard diverse datasets, implement new trading signals, build portfolio optimization tools, and develop data visualization frameworks to enhance the research platform.

The role emphasizes performance tuning of code, scalable data processing, and use of Linux-based environments with Python and SQL-based tools.

Qualifications

• 5-7 years of professional experience in software engineering, preferably with a focus on quantitative applications.
• Expert knowledge of Python and Pandas and proficiency with related scientific libraries including NumPy, SciPy, statsmodels, and scikit-learn.
• Experience developing mission-critical production systems, with knowledge of testing, monitoring, and deployment.
• Proficient on Linux platforms and strong understanding of Git.
• Working knowledge of one or more relevant database technologies, such as MS SQL, Postgres, or MongoDB.
• Demonstrated experience working with large data sets, both structured and unstructured.

Responsibilities

• Onboarding new datasets and implementing new trading signals.
• Developing portfolio optimization tools and data visualization frameworks.
• Enhancing the research platform and tuning performance of existing code.
• Collaborating with Quantitative Researchers and Portfolio Managers.
• Maintaining efficient data pipelines and cluster computing solutions.

Skills

Python

NumPy

Pandas

SciPy

scikit-learn

Linux

Git

MS SQL

PostgreSQL

MongoDB

data handling

datasets

Tools

NumPy

SciPy

Pandas

Rust?

Job description

Man Group is seeking a Senior Quantitative Developer in the Front-office Engineering organization to collaborate with Quantitative Researchers and Portfolio Managers in Boston. You will onboard diverse datasets, implement new trading signals, build portfolio optimization tools, and develop data visualization frameworks to enhance the research platform.

The role emphasizes performance tuning of code, scalable data processing, and use of Linux-based environments with Python and SQL-based tools.