Senior Quantitative Developer
About The Position
As a Senior Quantitative Developer in the Front-office Engineering organization at Man Systematic, you will work closely with Quantitative Researchers and Portfolio Managers. The work may include onboarding new datasets, implementing trading signals, developing portfolio optimization tools, building data visualization frameworks, enhancing the research platform, and tuning code performance using efficient numerical algorithms and cluster-computing solutions. The technology environment is primarily Linux and Python, including NumPy, SciPy, Pandas, statsmodels, and scikit-learn. Java is used for systems requiring the highest data throughput, and storage relies heavily on MongoDB and MS SQL. Other tools and technologies include Control-M, Airflow, Kafka, Bitbucket, Jenkins, Grafana, Prometheus, ELK, Docker, OpenStack, Ansible, and Slack. The team describes its working culture as small-company, flat-structured, open, transparent, and collaborative, with opportunities to grow and make an impact. Technology roles are generally expected to work in the office three days per week, although arrangements may vary by role, team, and individual circumstances at the manager’s discretion. The company promotes agile working and work-life balance. The position offers competitive compensation, a generous holiday allowance, health and other flexible benefits, and learning and development through coaching, mentoring, conference attendance, and sponsorship of academic and professional qualifications. The anticipated Massachusetts base salary range is $150,000–$170,000 USD; compensation packages also include benefits and a discretionary bonus.
Requirements
- 5–7 years of professional software engineering experience, preferably focused on quantitative applications.
- Expert knowledge of Python and Pandas, and proficiency with scientific libraries including NumPy, SciPy, statsmodels, and scikit-learn.
- Experience developing mission-critical production systems and knowledge of testing, monitoring, and deployment best practices.
- Proficiency with Linux platforms and a 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 structured and unstructured datasets.
- Experience in quantitative software development in a front-office setting, such as a hedge fund, proprietary trading firm, or investment bank.
- Experience mentoring junior team members and managing projects.
- Experience building web applications using modern frameworks such as React.
- Proficiency with distributed computing technologies such as Spark, Dask, Kubernetes, or Redis.
- Knowledge of modern data engineering practices, including data pipeline and ETL tools, distributed storage and processing, and data warehousing.
- Strong understanding of financial markets and instruments.
- Experience working with financial market data.
- Relevant mathematical knowledge, such as statistics and time-series analysis.
- Strong academic record and a degree with substantial mathematical and computing content, such as Computer Science, Mathematics, Engineering, or Physics.
- Analytical problem-solving approach, effective time management across projects and competing priorities, focus on delivering business value and improving processes, strong interpersonal skills, and confident communication.
Responsibilities
- Work closely with Quantitative Researchers and Portfolio Managers.
- Onboard new datasets.
- Implement new trading signals.
- Develop portfolio optimization tools.
- Build data visualization frameworks.
- Enhance the research platform.
- Tune existing code using efficient numerical algorithms and cluster-computing solutions.
- Mentor junior team members and manage projects.
Benefits
- Competitive compensation and a discretionary bonus.
- Generous holiday allowance and competitive holiday entitlements.
- Health and other flexible benefits.
- Continuous learning and development through coaching, mentoring, regular conference attendance, and sponsorship of academic and professional qualifications.
- Two annual paid 'Mankind' days for community volunteering.
- Pension/401k.
- Life and long-term disability coverage.
- Group sick pay.
- Enhanced parental leave and long-service leave.
- Depending on location, private medical coverage, discounted gym membership options, and pet insurance.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
