Title: Python Developer with Capital Markets / Banking Domain
Location: Jersey City, NJ
Duration: long term
Position type: W2 contract.
Job description:
We are seeking an experienced Python Developer with strong expertise in Capital Markets and Banking to join our technology team.
The ideal candidate will design, develop, and optimize Python-based solutions for trading, risk management, and financial analytics.
You will work closely with quants, traders, and risk analysts to build scalable systems that support high-frequency trading, portfolio management, and regulatory reporting
Develop, test, and deploy Python-based applications for trading, pricing, and risk analytics.
Build and optimize data pipelines for market data ingestion (e.g., Bloomberg, Refinitiv, FIX protocols).
Implement quantitative models for derivatives pricing, algorithmic trading, and portfolio optimization.
Integrate Python solutions with banking systems (Murex, Calypso, Bloomberg AIM) and databases (Snowflake, PostgreSQL).
Automate regulatory reporting (Basel III, MiFID II, Dodd-Frank) using Python and Pandas.
Collaborate with front-office teams to enhance real-time trading analytics and execution strategies.
Ensure high performance and low-latency processing for high-frequency trading (HFT) applications
10+ years of Python development (NumPy, Pandas, SciPy, PySpark).
Experience with Capital Markets domains (Equities, Fixed Income, FX, Derivatives).
Strong knowledge of financial libraries (QuantLib, RiskMetrics, VaR models).
Proficiency in data processing (SQL, Kafka, Apache Beam).
Experience with cloud platforms (AWS, Azure) and containerization (Docker, Kubernetes)
Understanding of trading lifecycles (front-to-back office workflows).
Familiarity with market data feeds (FIX Protocol, WebSockets).
Exposure to risk management systems (Credit Risk, Market Risk, Liquidity Risk).
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