Quantitative Software Development Lead

2 days ago


New York, New York, United States Ashton Lane Group, Inc Full time
Job Overview

We are seeking an experienced Quantitative Software Development Lead to join our team at Ashton Lane Group, Inc.

About the Role

This is a challenging opportunity for a highly skilled professional to lead our quantitative development efforts in wealth management.

The successful candidate will be responsible for managing day-to-day efforts in delivering investment algorithms and research-generated data, as well as recruiting and mentoring quantitative development team members.

A key aspect of this role will be working closely with various stakeholders and technology resources, leading agile development practices, and maintaining Jira backlog.

You will also provide hands-on end-to-end development, testing, and maintenance of our quantitative code base, perform code reviews to ensure quality meets the highest level of standards, and collaborate with product management and technology teams to ensure appropriate requirements, standards, and integration.

In addition, you will participate in building and/or defining Research Data & Quant Compute platforms, investigate datasets for use in new or existing algorithms, and contribute to the development of software using high-quality standards and best practices.

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 our quantitative code base.
  • Perform code reviews to ensure quality meets the highest level of standards.
  • 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.
  • $120,000 - $180,000 per year based on location and experience.


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