Fintech - Director Quantitative Software Development

Ashton Lane Group, Inc
New York, NY, United States
15 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Artificial Intelligence JIRA Unit Testing Code Review Databases IBM ILOG CPLEX Optimization Studio (CPLEX) Database Development Python (Programming Language) PostgreSQL NumPy Standard Sql SciPy
+5 more
Software Engineering SQL Databases Git Pandas Scikit Learn

Job description

Job DescriptionManage the team responsible for delivery of core algorithms for a technology-enabled investment platform of an innovative wealth manager Responsibilities:

  • Manage day to day efforts in delivering investment algorithms and research generated data.
  • Recruit and mentor Quantitative Development team members.
  • Work closely with various stakeholders and technology resources.
  • Lead agile development practices and maintain Jira backlog.
  • Provide hands-on end-to-end development, testing, and maintenance of quantitative code base.
  • Perform code reviews to ensure quality meets highest level of standards.
  • Develop software using high quality standards and best practices, ensure thorough end-to-end unit testing, and provide support during testing and post go-live.
  • Collaborate with product management and technology teams to ensure appropriate requirements, standards, and integration.
  • Participate in building and/or defining Research Data & Quant Compute platforms.
  • Investigate datasets for use in new or existing algorithms.

Requirements

  • Knowledge of wealth management products, tools, and strategies including ETFs, Mutual Funds, Investment Funds, REITs
  • Current/Recent experience leading a quantitative development team
  • Proficiency in computer science, computational mathematics, or financial engineering gained by advanced (MSc or above) academic and/or equivalent work experience
  • Excellent mathematical foundation and hands-on experience working in the finance industry.
  • Strong communication (written and oral) and analytical problem-solving skills.
  • Strong sense of attention to detail, pride in delivering high quality work and willingness to learn.
  • Proficient in Python, Git, Jira, and SQL and database development (PostgreSQL is a plus).
  • Knowledge of databases and 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 (Gurobi, CPLEX) is a plus.

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