Python Software Engineer

Job Title: Python Software Engineer

Location of role: Clayton Mo. Hybrid role 3 days a week on-site. Good work/life balance.

This role client can not sponsor now or in the future. LMK if you need sponsorship now or in the future?

Salary base $140K to $170K plus a nice 10% potential bonus - Depending on experience DOE

• Ideal candidates are:

  • Highly motivated

  • Independent thinkers

  • Strong in analytical and quantitative skills

  • Team-oriented

  • Interested in contributing meaningfully to a growing firm

Responsibilities :




As a Senior Software Engineer in the Investment Risk and Analytics workstream, you will design, develop, build, and maintain the Python platforms that power analytics, quantitative workflows, and risk valuation tools. You will work closely with business counterparts and our quantitative research groups to understand their needs, formulate requirements, design creative and extensible solutions for data distribution, analysis, and modeling for consumption by internal business groups.
As a senior member of the Technology Solutions department, you will also participate in design and code reviews, collaborate with other teams, and mentor junior teammates.

Qualifications:

• Bachelor's degree or equivalent experience in a field requiring strong analytical and quantitative skills, such as Computer Science, Engineering, Mathematics, Finance, or Information Systems
• 5+ years of professional software development experience including 3+ years of Python
• Extensive experience designing queries and data structures in Postgres, SQL Server, or other relational database platforms
• Experience building and operating business-critical systems in production
• Experience with building systems that scale, including monitoring and optimizing for computational and/or memory performance
• Experience with unit/integration testing frameworks and modern CI/CD practices

• Experience collaborating with data scientists, quantitative researchers, and other similar technical stakeholders
• Experience building solutions using public cloud platforms (AWS, Azure, GCP)
• Experience designing & implementing data pipelines to support quantitative research, including but not limited to backtesting, feature engineering, factor research, or portfolio analytics is a strong plus
• Familiarity with other high-level languages such as C# or Java
• Familiarity with MATLAB
• Working knowledge of modern application frameworks
• Previous professional experience in financial services sector

If applying for this role, send resume, target salary, citizenship status and short note how you fit to paul at paulmayassociates dot com

If applying for this role - Please take each key point and provide number of years experience and what you would rate yourself, 1 thru 10 (10 being expert) for each key point. Send your resume and notes on the role to expediate our recruiting services.