Python Developer with Capital Markets / Banking DomainÂ
Python Developer with Capital Markets / Banking DomainÂ
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Salary Not Disclosed
1 Vacancy
Job Description
Location: Jersey City NJ
Duration: long term
Position type: W2 contract.
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
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Develop test and deploy Python-based applications for trading pricing and risk analytics.
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Build and optimize data pipelines for market data ingestion (e.g. Bloomberg Refinitiv FIX protocols).
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Implement quantitative models for derivatives pricing algorithmic trading and portfolio optimization.
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Integrate Python solutions with banking systems (Murex Calypso Bloomberg AIM) and databases (Snowflake PostgreSQL).
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Automate regulatory reporting (Basel III MiFID II Dodd-Frank) using Python and Pandas.
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Collaborate with front-office teams to enhance real-time trading analytics and execution strategies.
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Ensure high performance and low-latency processing for high-frequency trading (HFT) applications
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10 years of Python development (NumPy Pandas SciPy PySpark).
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Experience with Capital Markets domains (Equities Fixed Income FX Derivatives).
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Strong knowledge of financial libraries (QuantLib RiskMetrics VaR models).
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Proficiency in data processing (SQL Kafka Apache Beam).
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Experience with cloud platforms (AWS Azure) and containerization (Docker Kubernetes)
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Understanding of trading lifecycles (front-to-back office workflows).
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Familiarity with market data feeds (FIX Protocol WebSockets).
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Exposure to risk management systems (Credit Risk Market Risk Liquidity Risk).
Employment Type
Full Time
