Senior Python Engineer - Numeric

As a Senior Python Engineer 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.

Our systems are almost all running on Linux and most of our code is in Python, with the full scientific stack: NumPy, SciPy, Pandas, statsmodels, and scikit-learn to name a few of the libraries we use extensively. We implement the systems that require the highest data throughput in Java. For storage, we rely heavily on MongoDB and MS SQL.

We use Control-M and Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker for containerisation, OpenStack for our private cloud, Ansible for architecture automation, and Slack for internal communication. Our technology list is never static: we constantly evaluate new tools and libraries.

5+ 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

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

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

Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws.

Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact TalentAcquisition@man.com .