Senior Quantitative Developer
Core
Build and optimize high-performance quantitative trading systems, data pipelines, and research platforms for systematic investment strategies.
Role type
Senior Quantitative Developer (Front-office Engineering)
Builds
Production trading signals, portfolio optimization tools, data visualization frameworks, and research infrastructure.
Domain
Quantitative Finance / Systematic Trading
Deliverable
production ML models | product features | infrastructure
Required skills
Python, Pandas, NumPy, SciPy, statsmodels, scikit-learn, Linux, Git, SQL/MongoDB, large-scale data processing, numerical algorithms, cluster computing
Preferred skills
Quantitative software development in front-office, mentoring, React, distributed computing (Spark, Dask, Kubernetes, Redis), data engineering, financial markets knowledge, statistics/time-series analysis
Technologies
Python, Pandas, NumPy, SciPy, statsmodels, scikit-learn, Java, MongoDB, MS SQL, Control-M, Airflow, Kafka, Bitbucket, Jenkins, Grafana, Prometheus, ELK, Docker, OpenStack, Ansible, ArcticDB
Responsibilities
Onboard new datasets, implement trading signals, develop portfolio optimization tools, build data visualization frameworks, enhance research platforms, tune code performance using numerical algorithms and cluster computing.
Seniority
Senior, hands-on IC