Senior Software Engineer (Hybrid)

Northwest Talent Solutions is a leading Technology, Finance, and Healthcare staffing/recruiting and HR/DEI consulting firm partnering with outstanding clients within the private industry and public sector. Currently, we are partnered with a preferred client in Boston in search of a highly talented Senior Software Engineer (Hybrid - 3 days/week onsite).

Job Summary

As a Senior Software Engineer, you will collaborate with Quantitative Researchers and Portfolio Managers in the Front-office Engineering organization. You'll tackle diverse challenges, including onboarding new datasets, implementing trading signals, developing portfolio optimization tools, building data visualization frameworks, enhancing research platforms, and performance-tuning existing code using efficient numerical algorithms and cluster-computing solutions.

Key Duties & Responsibilities:

• Develop mission-critical production systems for quantitative applications
• Work with large datasets, both structured and unstructured
• Implement and optimize trading signals and portfolio optimization tools
• Enhance and maintain research platforms
• Collaborate with Quantitative Researchers and Portfolio Managers

Qualifications:

I. Education:

• Degree with high mathematical and computing content (e.g., Computer Science, Mathematics, Engineering, or Physics)
• Equivalent years of additional work experience may be considered in lieu of the above education requirement

II. Experience:

• 5+ years of professional experience in software engineering, preferably with a focus on quantitative applications
• Expert knowledge of Python and Pandas, with proficiency in related scientific libraries (NumPy, SciPy, stats models, sci-kit-learn)
• Experience developing mission-critical production systems

Knowledge, Skills & Abilities:

• Proven ability to develop mission-critical systems, with expertise in testing, monitoring, and deployment best practices
• Strong background in Linux and Git, with experience in distributed computing (Spark, Dask, Kubernetes)
• Deep understanding of data engineering practices, including ETL, pipelines, and data warehousing
• Excellent analytical skills, with knowledge of statistics, time-series analysis, and financial markets
• Outstanding communication skills, able to collaborate with cross-functional teams and manage multiple projects efficiently

Screening Questions:

1. Describe your experience with Python and the scientific stack (NumPy, SciPy, Pandas, etc.) in a professional setting.
2. What is your experience with developing mission-critical production systems?
3. How have you worked with large datasets in the past, and what challenges did you face?

For confidential, immediate consideration, please apply with a formal copy of your resume along with your salary expectations and answers to all outlined screening questions.

Scale Beyond the Talent Bar