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 role may involve onboarding new datasets, implementing trading signals, developing portfolio optimization tools, building data visualization frameworks, enhancing the research platform, and tuning existing code using efficient numerical algorithms and cluster-computing solutions. The technology environment is primarily Linux and Python, using scientific libraries 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, and Ansible. Man Systematic describes its working culture as flat, 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, though arrangements may vary according to the role, team, individual circumstances, and manager discretion. The firm offers competitive compensation, holiday allowance, health and flexible benefits, and learning and development through coaching, mentoring, conference attendance, and sponsorship of academic and professional qualifications.
Requirements
- 5–7 years of professional software engineering experience, preferably focused 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 and knowledge of best practices for testing, monitoring, and deployment.
- 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.
- Strong academic record and a degree with substantial mathematical and computing content, such as Computer Science, Mathematics, Engineering, or Physics.
- Intellectually robust, with a keenly analytical approach to problem solving.
- Self-organized and able to manage time effectively across multiple projects and competing business demands and priorities.
- Focused on delivering business value and continually improving processes.
- Strong interpersonal skills and ability to build close working relationships with quantitative researchers, portfolio managers, traders, and senior business people.
- Confident communicator who can argue a point concisely and respond positively to conflicting views.
Nice To Haves
- Experience in quantitative software development in 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 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 or time-series analysis.
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.
- Improve the performance of existing code using efficient numerical algorithms and cluster-computing solutions.
Benefits
- Competitive compensation and a discretionary bonus.
- Competitive holiday entitlements and a generous holiday allowance.
- Pension/401k.
- Life and long-term disability coverage.
- Group sick pay.
- Enhanced parental leave.
- Long-service leave.
- Two annual paid 'Mankind' days for community volunteering.
- Flexible working arrangements.
- Depending on location, private medical coverage, discounted gym membership options, and pet insurance.
- Coaching, mentoring, regular conference attendance, and sponsorship of academic and professional qualifications.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
