The job, in the employer's words
About the Role
iCapital is looking to hire a Quant Engineer to join the Portfolio Analytics team. 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 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. This role 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.
Responsibilities
- Develop robust and scalable quantitative financial models and collaborate closely with quant researchers to produce proprietary risk analytics models as part of the firm’s software platform.
- Test, validate, and document quantitative methodologies to ensure accuracy, robustness, and transparency.
- 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.
- Collaborate regularly with other stakeholders and partners to solicit requirements, seek feedback and provide updates.
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 the ability to explain technical concepts to non-technical audiences
- Able 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
Benefits
The base salary range for this role is $130,000 to $170,000 depending on level. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Benefits mentioned
- The base salary range for this role is $130,000 to $170,000 depending on level. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
Requirements mentioned
- 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 the ability to explain technical concepts to non-technical audiences
- Able 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
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