# Associate Quantitative Trader, Voleon Securities

**Company:** [The Voleon Group](https://hotfix.jobs/companies/voleon)
**Location:** New York, NY
**Role:** Data Analytics
**Salary:** $175k – $175k/yr
**Experience:** 1+ years
**Skills:** Python, SQL, Statistics, Data Analysis, Data Visualization, unix, Git, pandas, polars, Airflow, ETL, fix protocol, market microstructure
**Posted:** 2026-07-29

> Associate Quantitative Trader monitoring automated trading systems, building data pipelines and analytics, and performing statistical analysis to improve market-making strategies in fixed income and expanding asset classes. Requires strong Python/SQL, statistics, and financial markets passion; bachelor's in quantitative field.

## Job Description

## Responsibilities
- Monitor automated execution and portfolio risk during U.S. market hours, and respond to alerts, exceptions, and incidents.
- Track real-time developments across the credit, rates, and ETF markets we trade.
- Design and build the data pipelines, dashboards, and analytics that measure execution quality, monitor data health, and surface abnormal production behavior.
- Apply statistical analysis to production and research data to produce actionable insights into our trading, and automate the analyses worth monitoring over time.
- Contribute to the codebase underlying automated trading operations, and build processes and technology that prevent errors and outages while increasing the desk's capacity.
- Interface with clients, electronic trading venues, and clearing and financing counterparties.
- Provide market and data expertise to research and strategy partners.
- Help extend the desk into new asset classes and markets, such as equities and futures.
- Obtain and maintain the FINRA licenses required for the role (e.g., Series 7/57).

## Requirements
- Demonstrated experience and passion for financial markets, with an ability to work in a high ownership, fast-paced startup environment.
- Proficiency, experience, and understanding of Python and SQL used for data analysis (beyond purely utilizing gen-AI tools).
- Hands-on experience working with complex datasets end to end: curation, querying, aggregation, exploratory data analysis, and visualization.
- A solid foundation in statistics — the ability to frame and answer questions mathematically, identify patterns, and reason carefully about distributions, sample sizes, and uncertainty.
- Comfort working in a Unix-like environment (command line, shell, git).
- Strong data-visualization and communication skills: the ability to turn an ambiguous question into a clear, well-supported answer.
- Attention to detail and clarity of thought, with rigor about cause and effect.
- A bachelor's degree in a quantitative or scientific discipline (e.g., statistics, data science, computer science, engineering, mathematics, economics, or a related field).

## Preferred Requirements
- A master's degree, or one or more years of applied data, engineering, or trading experience (including internships).
- Experience trading fixed income, or applied market microstructure knowledge.
- Experience building data pipelines or production-facing tooling (ETL, workflow orchestration such as Airflow, CI/CD, git).
- Fluency with data libraries (pandas or Polars and a plotting library) and analytical data stores (e.g., DuckDB, Parquet).
- Exposure to the FIX protocol or electronic trading systems.

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