Senior Quant Software Developer

Project description:

We are hiring in the Middle East. There are many projects and opportunities in the region. Our team consists of frontend and backend developers, data analysts and data scientists, architects, analysts and project managers.

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.

Skills:

• Python (Advanced), PySpark (Medium), SQL (Advanced)
• Dash (Python framework), JavaScript (Medium), React (Preferred), OpenFin / FTC3 (Preferred)
• Azure (Preferred), AWS (Medium)
• 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.