Position : Quantitative Software DeveloperWork Hours (Client) : Monday to Friday - 9am - 5pm EST Full-timePay Range : $2000 - $2500 USD/month (varies based on skill set and experience level)Location of Search : Philippines, Latin America, South Africa, or Any RegionWork Location : REMOTECompany/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 SkillsEducation: ideally with Master's in Quantitative Finance, Computer Science, or related from top programs (e.g., Oxford, NUS, Imperial).Experience: 3-7 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.
Somewhere
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 SkillsEducation: ideally with Master's in Quantitative Finance, Computer Science, or related from top programs (e.g., Oxford, NUS, Imperial).Experience: 3-7 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.
Somewhere
Other Info
Metro Manila
US$2,000-2,500 per month
Permanent
Full-time
US$2,000-2,500 per month
Permanent
Full-time
Submit profile
Somewhere
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