Design and implement robust data pipelines to automate the ingestion, cleansing, and storage of large-scale, real-time datasets — including market data and alternative data sources.
Identify, develop, and implement automated quantitative strategies in collaboration with traders
Contribute to the continuous improvement of flow monitoring and analytical tooling
Incorporate AI in workflow automation and content generation for internal use and client-facing commentaries
Uphold the highest professional standards and represent Jefferies’ culture of integrity, teamwork, and client‑focused execution.
Qualifications
Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative field.
Proficiency in Python and/or C++; experience with data manipulation libraries (pandas, NumPy).
Hands-on experience with relational databases such as PostgreSQL, MSSQL, or Oracle.
Proficiency in Linux/Unix environments and command-line tooling.
Familiarity with core cybersecurity concepts (TLS/SSL, hashing, encryption, authentication)
Solid understanding of financial markets, instruments, and trading concepts.
Familiarity with financial data platforms such as Bloomberg or Refinitiv is a plus.
Ability to work effectively under pressure in a fast-paced, high-volume trading environment with tight deadlines.
Strong analytical and problem-solving skills with exceptional attention to detail.
Excellent communication skills with the ability to present technical concepts clearly to both technical and non-technical stakeholders.
Highly organized and capable of managing multiple projects and priorities simultaneously.
A self-starter who takes ownership of deliverables while contributing constructively to a collaborative team environment.
New York, NY Full Time Salary Range of $100,000-120,000.
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