Senior Python Developer Trade Surveillance

Job Summary

Senior Python Developer focused on trade surveillance and market manipulation detection.

• Role: Senior Python Developer focused on trade surveillance and market manipulation detection.
• Location: Plano, TX or Jersey City, NJ (Hybrid; min. 3 days onsite/week).
• Duration: 12-18 months contract (possible extension to 24 months).
• Team: Enterprise Risk & Finance Technology.

Key Responsibilities

• Hands-on design, development, and maintenance of compliance and surveillance applications using Python.
• Build scalable, reliable, and regulatory-compliant software solutions.
• Implement and convert PL/SQL rules to Python; develop rule generation logic (not ML-based).
• Manage and deliver JIRA stories within monthly release cycles.
• Develop and consume REST APIs; support UI via API integration (not full UI development).
• Collaborate with quantitative researchers, business analysts, compliance, and audit teams.
• Analyze complex financial datasets for surveillance, risk, and monitoring.
• Participate in code reviews, architecture discussions, and continuous improvement.
• Address audit findings and enhance surveillance controls within the Quartz platform.

Required Technical Skills

• Expert-level Python programming.
• REST API development and integration.
• Experience with ReactJS or similar frontend technologies (helpful, but not core).
• Familiarity with PySpark and the Quartz platform (preferred).
• Strong knowledge of object and relational databases.
• Full software development lifecycle (SDLC), version control, and CI/CD practices.

Required Experience

• 5+ years hands-on programming in object-oriented languages (Python preferred).
• 3+ years as a senior developer in banking/financial services, supporting front-office apps.
• 3+ years working with REST APIs and/or full-stack development.
• Experience developing risk/pricing and trade surveillance applications.
• Knowledge of Fixed Income, Equities, and market structures.
• Experience in trade surveillance, market misconduct detection, and compliance (major advantage).

Soft Skills

• Strong verbal and written communication.
• Self-motivated, with ownership and accountability.
• Excellent analytical and problem-solving abilities.

Role Clarifications

• Not a data science, quant, AI/ML, or data engineering role.
• Not focused on building full UI applications supporting APIs for UI is expected.
• Ideal for candidates with capital markets, fixed income/equities, and trade surveillance backgrounds.

Candidates To Avoid

• Data engineers, data scientists, and pure frontend developers.