Senior Quant Software Developer

Overview

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), including 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, and 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.

• Python (Advanced), PySpark (Medium), SQL (Advanced)

• Dash (Python framework), JavaScript (Medium), React (Preferred), OpenFin / FTC3 (Preferred)

• DataBricks (Preferred), Palantir Foundry (Medium)

• Test-driven Development (Advanced), CICD (Medium), DevOps (Advanced)
• Application Architecture design and development (Design patterns etc)
• Data Engineering (Ingestion, Curation, Modelling, Automation, Data Quality Checks) (Preferred)
• APIs (patterns, authorization, SOAP, REST, GRPC) (Advanced)

• Data Science (Preferred)

• Understand and provide insights on emerging industry trends.

Domain Knowledge

• Knowledge / experience in financial markets and alternative asset classes (Hedge Funds)
• Knowledge / experience in end-to-end portfolio management (asset allocation, portfolio construction, rebalancing, implementation, attribution)
• Experience with sourcing data from, and integrating with, core investment and/or market data platforms
• Knowledge / experience with Quant processes (Monte Carlo simulation, pricing engines, optimization techniques, factor modelling, risk)
• Nice to have:
• Ability to gather requirements, challenge, define structure and report upon status of deliverables.
• Strong collaboration and team culture, working in Agile delivery.
• Strong problem-solving skills and ability to effectively resolve issues in a timely manner.
• Excellent interpersonal skills, including collaboration, facilitation, and negotiation.
• Excellent written and verbal communication skills.
• Ability to balance the long-term ("big picture") and short-term implications of individual decisions.