Fixed Income Tech: Python & SQL Developer

Jefferies

New York (NY)

On-site

USD 125,000 - 150,000

Full time

9 days ago

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Job summary

Jefferies is seeking a Software Developer in New York to join the Fixed Income Technology team. The role focuses on building full‑stack systems—from database development and data integration to custom trading tools and dashboards—supporting a global remit.

You will work on an allocation rates engine, Triparty data tooling, Anvil screens, and trader dashboards, with collaboration across NY and London desks. A bachelor's in a quantitative field is preferred.

Qualifications

  • 2–3+ years of Python for data processing, analysis, or app development.
  • Experience with SQL (Oracle and/or MS SQL) for querying and data manipulation.
  • Relational database design and development experience.
  • Hands-on ETL processes and data pipelines.
  • Familiarity with Unix/Linux environments for development and deployment.

Responsibilities

  • Design, develop, and maintain an internal allocation rates engine.
  • Build and manage Triparty data ingestion, integration, and analysis tooling.
  • Develop screens, columns, and workflows within the Anvil (ION) repo platform.
  • Build and maintain reporting dashboards for traders and support teams.
  • MSSQL and Oracle database development feeding downstream systems and reporting.
  • Collaborate with NY and London Repo Trading Desks and Repo Support teams.

Skills

Python
SQL
Relational DB design
ETL
Unix/Linux

Education

Bachelor's degree in CS/Engineering/Math/Physics

Tools

Anvil/ION repo platform

Job description

Jefferies is seeking a Software Developer in New York to join the Fixed Income Technology team. The role focuses on building full‑stack systems—from database development and data integration to custom trading tools and dashboards—supporting a global remit.

You will work on an allocation rates engine, Triparty data tooling, Anvil screens, and trader dashboards, with collaboration across NY and London desks. A bachelor's in a quantitative field is preferred.

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