Quantitative Development Lead for Investment Platform
5 days ago
As a Quantitative Development Lead at Ashton Lane Group, Inc, you will be responsible for managing the delivery of core algorithms for our technology-enabled investment platform.
Key Responsibilities:- Oversee day-to-day efforts in delivering investment algorithms and research-generated data to ensure seamless integration with our platform.
- Recruit, mentor, and develop a team of quantitative development professionals to drive innovation and excellence.
- Collaborate closely with various stakeholders and technology resources to drive project success.
- Leverage agile development practices to maintain a Jira backlog and ensure timely delivery of high-quality results.
- Provide hands-on end-to-end development, testing, and maintenance of our quantitative code base to guarantee exceptional performance.
- Perform thorough code reviews to uphold the highest standards of quality and best practices.
- Develop software using cutting-edge technologies and techniques, ensuring thorough unit testing and providing support during testing and post-go-live phases.
- Work closely with product management and technology teams to define requirements, standards, and integration.
- Participate in building and/or defining Research Data & Quant Compute platforms to drive business growth.
- Analyze datasets to identify new opportunities for algorithmic innovation.
- Familiarity with wealth management products, tools, and strategies, including ETFs, Mutual Funds, Investment Funds, REITs.
- Proven experience leading a quantitative development team in a similar capacity.
- Advanced degree (MSc or above) in computer science, computational mathematics, or financial engineering, or equivalent work experience.
- Strong mathematical foundation and hands-on experience working in the finance industry.
- Excellent communication and analytical problem-solving skills.
- A strong attention to detail, commitment to delivering high-quality work, and willingness to learn.
- Proficiency in Python, Git, Jira, SQL, and database development (PostgreSQL is a plus).
- Knowledge of databases, quantitative, statistical, and ML/AI techniques, and their implementation using Python modules such as Pandas, NumPy, SciPy, SciKit-Learn, Git, Jira, and SQL.
- Experience delivering products using commercial optimizers like Gurobi or CPLEX is a significant advantage.
The estimated annual salary range for this role is between $160,000 and $220,000, depending on qualifications and experience. Benefits include health insurance, retirement plan, paid time off, and professional development opportunities.
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