Quant Developer

Description:

The Quant team’s goal is to deliver industry-leading analytical insights that help financial advisors and investors managing their multi-asset portfolios and utilizing alternative assets to meet their long-term investment objects. The team consists of Quantitative Researchers and Quantitative Developers to research, define, and implement models that will guide clients in portfolio construction, asset allocation, and risk management. The team members have diverse backgrounds such as math, physics, economics, quantitative finance, computer science, and other science and engineering fields, and collaborate closely with business-side colleagues, platform architects, software developers, and product managers to deliver analytics through the software platform for the firm’s clients.

The Quant Developers have a core mission of developing robust and scalable quantitative models to deliver portfolio risk analytics capabilities as part of the firm’s commercial technology platform for financial advisors and asset managers. The team members will implement statistical, machine learning, and quantitative financial models, applied to a combination of proprietary, public, and third-party data, to deliver analytics for multi-asset portfolios including alternative assets such as hedge fund, private equity, private credit, real estate, and digital assets.

Responsibilities
 

• Develop robust and scalable quantitative financial models and collaborate closely with quant researchers to productionize proprietary risk analytics models as part of the firm’s software platform
• Develop centralized financial calculation engines powering the firm’s commercial technology platform
• Document and communicate quantitative methodologies and analytics to others including stakeholders and clients
• Collaborate with other teams to ensure risk analytics are delivered through the software platform with excellent user experience
   

Qualifications
 

• 4+ year of professional experience in quantitative financial modeling, data science, or software development
• Expertise in implementing statistical analysis, machine learning, or financial modeling with Python, and proficiency in full-stack software development
• Ability to work in a dynamic and fast-paced environment
• Knowledge of JAVA/Scala/C++ is a plus
• Experience with AWS is a plus