Quant Engineer AVP - Hybrid, Equity & PTO

Icapitalnetwork; New York (NY); Hybrid; USD 130,000 - 170,000; Full time

Benefits offered by this job

Equity

Annual bonus

Retirement plan

Healthcare coverage

Parental leave

Unlimited PTO

Job summary

iCapital is seeking a Quant Engineer to join the Portfolio Analytics team in New York. The role focuses on building robust quantitative models for portfolio construction, asset allocation, and risk management using Python.

You will test and validate methodologies, power the platform with centralized calculation engines, and communicate analytics to clients. The team collaborates across stakeholders; hybrid work with in-office Mon-Thu and remote Fri.

Qualifications

• 6+ years of professional experience in quantitative modeling, data science, or software development.
• Strong programming skills in Python for data analysis and modeling.
• Ability to explain technical concepts to non-technical audiences.
• Experience working in dynamic, fast-paced environments.
• Knowledge of Java/Scala/C++ is a plus.
• Cloud services experience is a plus.

Responsibilities

• Develop robust and scalable quantitative financial models for risk analytics.
• Test, validate, and document methodologies to ensure robustness and transparency.
• Develop centralized financial calculation engines for the platform.
• Document analytics and methodologies for stakeholders and clients.
• Collaborate with teams to deliver risk analytics via the software platform.
• Engage with stakeholders to gather requirements and provide progress updates.

Skills

Python

Java/Scala/C++

Distributed Systems

Cloud services

Job description

iCapital is seeking a Quant Engineer to join the Portfolio Analytics team in New York. The role focuses on building robust quantitative models for portfolio construction, asset allocation, and risk management using Python.

You will test and validate methodologies, power the platform with centralized calculation engines, and communicate analytics to clients. The team collaborates across stakeholders; hybrid work with in-office Mon-Thu and remote Fri.