Senior Quantitative Developer
Man Group•Boston, MA
•Hybrid
About The Position
As a Senior Quantitative Developer in the Front-office Engineering organization at Man Numeric, you will work closely with Quantitative Researchers and Portfolio Managers. Your challenges will be varied and may include onboarding new datasets, implementing new trading signals, developing portfolio optimization tools, building data visualization frameworks, enhancing our research platform, and performance tuning existing code using efficient numerical algorithms and cluster-computing solutions.
Requirements
- 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 best practices for 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
- Strong academic record and a degree with high mathematical and computing content e.g., Computer Science, Mathematics, Engineering or Physics
- Intellectually robust with a keenly analytic approach to problem solving
- Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities
- Focused on delivering value to the business with relentless efforts to improve process
- Strong interpersonal skills: able to establish and maintain a close working relationship with quantitative researchers, portfolio managers, traders and senior business people alike
- Confident communicator: able to argue a point concisely and deal positively with conflicting views
Nice To Haves
- Experience in quantitative software development within a front-office setting, such as at a hedge fund, proprietary trading firm, or investment bank
- Experience mentoring junior team members and managing projects
- Experience building web applications using modern frameworks like React
- Proficient with distributed computing technologies such as Spark, Dask, Kubernetes, Redis
- Knowledge of modern data engineering practices including data pipeline & ETL tools, distributed storage & processing and data warehousing
- Strong understanding of financial markets and instruments
- Experience working with financial market data
- Relevant mathematical knowledge e.g., statistics, time-series analysis
Responsibilities
- Onboarding new datasets
- Implementing new trading signals
- Developing portfolio optimization tools
- Building data visualization frameworks
- Enhancing our research platform
- Performance tuning existing code using efficient numerical algorithms and cluster-computing solutions
Benefits
- Competitive compensation
- Generous holiday allowance
- Various health and other flexible benefits
- Continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications
- Two annual 'Mankind' days of paid leave for community volunteering
- Competitive holiday entitlements
- Pension/401k
- Life and long-term disability coverage
- Group sick pay
- Enhanced parental leave
- Long-service leave
- Private medical coverage (location dependent)
- Discounted gym membership options (location dependent)
- Pet insurance (location dependent)
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What This Job Offers
Job Type
Full-time
Career Level
Senior
