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Salary: USD 130,000 - 170,000 / annual
iCapital is hiring a Quant Engineer to join the Portfolio Analytics team, which develops quantitative models for portfolio construction, asset allocation, and risk management. The role focuses on implementing statistical, machine learning, and quantitative financial models applied to proprietary, public, and third-party data to deliver analytics for multi-asset portfolios including alternative assets.
Key responsibilities include:
- Develop robust and scalable quantitative financial models in collaboration with quantitative researchers to produce proprietary risk analytics models for the firm's software platform
- Test, validate, and document quantitative methodologies to ensure accuracy, robustness, and transparency
- Develop centralized financial calculation engines powering the commercial technology platform
- Document and communicate quantitative methodologies and analytics to stakeholders and clients
- Collaborate with other teams to ensure risk analytics are delivered through the software platform with excellent user experience
- Work with stakeholders and partners to solicit requirements, gather feedback, and provide updates
The team consists of Quantitative Researchers and Quantitative Developers working together to research, define, and implement models that guide clients in portfolio decisions and risk management.
Workplace: In-office Monday-Thursday with remote flexibility on Friday.
Qualifications:
- 6+ years of professional experience in quantitative financial modeling, data science, or software development
- Strong programming skills in Python for data analysis, modeling, and software development
- Strong problem-solving and communication skills, with ability to explain technical concepts to non-technical audiences
- Ability to work in a dynamic and fast-paced environment
- Knowledge of Java/Scala/C++ is a plus
- Distributed systems experience is a plus
- Experience with cloud services is a plus
