Quantitative Developer
C2R Ventures
- Location
- New York City Metropolitan Area, US
- Workplace
- On-site
- Job type
- Full-time
- Salary
- $82k–$110k
- Posted
- 1 week ago
- Source
- DevITJobs
Requirements:
- 2–3 years of professional software engineering experience, preferably focused on quantitative applications
- Expert knowledge of Python and Pandas, with proficiency in scientific libraries such as NumPy, SciPy, Statsmodels, and scikit-learn
- Experience developing mission-critical production systems and applying best practices for testing, monitoring, and deployment
- Proficiency with Linux and a strong understanding of Git
- Working knowledge of one or more database technologies, such as MS SQL, PostgreSQL, or MongoDB
- Demonstrated experience working with large structured and unstructured datasets
- Advantageous: Experience in quantitative software development in a front-office setting, such as a hedge fund, proprietary trading firm, or investment bank
- Advantageous: Experience mentoring junior colleagues and managing projects
- Advantageous: Experience building web applications with modern frameworks such as React
- Advantageous: Proficiency with distributed computing technologies such as Spark, Dask, Kubernetes, or Redis
- Advantageous: Knowledge of modern data engineering practices, including data pipelines, ETL tools, distributed storage and processing, and data warehousing
- Advantageous: Strong understanding of financial markets and instruments, and experience working with financial market data
- Advantageous: Relevant mathematical knowledge, such as statistics or time-series analysis
- Strong academic record and a degree with substantial mathematics and computing content, such as Computer Science, Mathematics, Engineering, or Physics
- Analytical problem-solving skills and intellectual rigor
- Strong organization and time-management skills, including the ability to balance multiple projects and competing priorities
- A focus on delivering business value and continuously improving processes
- Strong interpersonal skills and the ability to build effective working relationships with quantitative researchers, portfolio managers, traders, and senior business stakeholders
- Confident communication skills, including the ability to present arguments concisely and respond constructively to differing views
Responsibilities:
- Onboard new datasets
- Implement trading signals
- Develop portfolio optimization tools and data visualization frameworks
- Enhance our research platform
- Improve the performance of existing code using efficient numerical algorithms and cluster-computing solutions
Technologies:
- Airflow
- Ansible
- BitBucket
- Docker
- ELK
- ETL
- Git
- Grafana
- Support
- Java
- Jenkins
- Kafka
- Kubernetes
- Linux
- MongoDB
- OpenStack
- PostgreSQL
- Prometheus
- Python
- React
- Redis
- SQL
- Spark
- Web
- numpy
- pandas
- Cloud
- Slack
More
We are a Boston-based investment management firm seeking a Senior Software Engineer to support our Quantitative Researchers and Portfolio Managers. Our systems run primarily on Linux, with Python and its scientific libraries used extensively; we also use Java for systems requiring high data throughput, and MongoDB and MS SQL for storage. Our broader technology environment includes Control-M and Airflow for workflow management, Kafka for data pipelines, Bitbucket, Jenkins, Grafana, Prometheus, ELK, Docker, OpenStack, and Ansible. We continually evaluate new tools and libraries.
last updated 43 week of 2026