Senior Quant Software Developer

We are seeking a Data Engineer with strong expertise in Python, PySpark, and SQL to design and maintain scalable solutions supporting financial markets, investment platforms, and portfolio management processes. Responsibilities: Develop and maintain scalable solutions using Python, PySpark, and SQL. Design and implement data pipelines (ingestion, transformation, modelling, data quality checks, automation).

Build and integrate APIs (REST, SOAP, gRPC) with authentication and authorization. Contribute to application architecture design, applying best practices and design patterns. Implement Test-Driven Development (TDD) and ensure high code quality.

Support and enhance CI/CD pipelines and DevOps processes. Work with cloud platforms (AWS, Azure) and data platforms such as Databricks and Palantir Foundry. Develop UI components and dashboards using Dash, JavaScript, React.

Integrate with market data and investment platforms. Support quantitative models and analytics (Monte Carlo simulations, pricing, risk, factor modelling). Contribute to portfolio management processes (asset allocation, rebalancing, attribution).

Analyze complex datasets and deliver actionable insights for business and investment decisions. Gather and challenge business requirements, define solutions, and report on delivery progress. Collaborate within Agile teams, ensuring effective communication and alignment.

Stay updated on emerging technologies and industry trends, proposing improvements. Balance short-term deliverables with long-term architectural goals. Must Have: Advanced Python, medium PySpark, advanced SQL.

Experience with Dash, JavaScript, React (preferred), OpenFin/FTC3 (preferred). Cloud experience: Azure (preferred), AWS (medium). Data platforms: Databricks (preferred), Palantir Foundry (medium).

Strong background in TDD, CI/CD, DevOps. Application architecture design and development (design patterns). Data engineering expertise (ingestion, curation, modelling, automation, data quality checks).

Advanced API knowledge (patterns, authorization, SOAP, REST, gRPC). Exposure to data science. Domain knowledge in financial markets, hedge funds, portfolio management, and quantitative processes.

Experience sourcing and integrating data from core investment and market data platforms. Nice to Have: Strong requirement gathering and reporting skills. Collaboration and Agile delivery mindset.

Excellent problem-solving and interpersonal skills. Strong written and verbal communication. Ability to balance long-term architecture with short-term deliverables.