Quantitative Software Developer

Position : Quantitative Software Developer

Work Hours (Client) : Monday to Friday - 9am - 5pm EST Full-time

Pay Range : Varies based on skill set and experience level

Location of Search : Philippines Latin America South Africa or Any Region

Work Location : REMOTE

Company/Client Overview:

We are a rapidly growing design and construction firm specializing in innovative residential and commercial projects across the U.S. Our dynamic and collaborative team is driven by a passion for excellence and we are committed to leveraging modern technology to streamline operations enhance communication and deliver outstanding results to our clients.

Duties and Responsibilities:

Seeking a Quantitative Software Developer to build and manage a custom family office brokerage platform with real-time financial dashboards for cash flow and assets (stocks options futures). The role includes developing educational and business applications to support financial literacy and operations. Must excel in AI-driven rapid development to create bespoke tools on demand.

Responsibilities

• Develop secure brokerage portal with live data integration (e.g. Bloomberg Alpaca APIs) for portfolio management.
• Build AI-driven tools (e.g. TensorFlow PyTorch) for trading algorithms risk models and portfolio optimization.
• Create educational apps to teach quant finance concepts (e.g. options pricing risk management) for family office stakeholders.
• Develop business apps for internal operations (e.g. budgeting compliance tracking reporting).
• Rapidly prototype custom features using Python/C and cloud platforms (AWS/GCP).
• Implement low-latency trading strategies and ensure regulatory compliance (e.g. SEC KYC).
• Use DevOps (Docker CI/CD) for scalable deployments.
• Collaborate to meet ad-hoc family office needs.

Minimum Requirements:

Language requirement: Excellent English Communication Skills

Education: ideally with Masters in Quantitative Finance Computer Science or related from top programs (e.g. Oxford NUS Imperial).

Experience: 37 years in fintech/hedge funds with projects in AI-trading educational or business app development.

Skills:

• Expert in Python C SQL; AI/ML (TensorFlow PyTorch) for predictive models and app functionality.
• Experience with brokerage APIs low-latency systems and DevOps (Kubernetes Git).
• Knowledge of stocks options (Black-Scholes) futures and risk (VaR).
• Proficiency in building user-friendly educational apps (e.g. React Flutter) and business tools (e.g. dashboards ERP integrations).
• Soft Skills: Strong problem-solving communication adaptability for rapid development.
• Portfolio: GitHub with AI-driven trading tools educational apps or business dashboards.

Preferred

• Experience with NLP for market sentiment (e.g. X/news).
• Background in family office operations regulatory compliance or financial education platforms.