Quantitative Software Developer
Quantitative Software Developer
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$ 2000 - 2500
1 Vacancy
Job Description
Position : Quantitative Software Developer
Work Hours (Client) : Monday to Friday - 9am - 5pm EST Full-time
Pay Range : $2000 - $2500 USD/month(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.
Employment Type
Full Time
