Job description
NovaQuant Actuarial Solutions is seeking a talented Actuarial Analyst to join our dynamic team in New York City. You will collaborate with senior consultants to build pricing models, perform reserve analyses, and assess risk for a diverse range of clients in insurance and financial services. This is a high-visibility role ideal for someone who blends rigorous quantitative skills with business acumen.
As part of the team, you will develop and validate models, translate results for non-technical stakeholders, and contribute to client reports and strategic proposals. We value curiosity, mentorship, and a growth mindset.
Responsibility
- Develop, review, and validate actuarial pricing and reserving models using advanced analytics.
- Conduct trend analysis, scenario testing, and data quality checks to ensure model integrity.
- Collaborate with underwriters, product managers, and finance teams to translate model outputs into actionable business insights.
- Prepare client-ready reports and present findings to senior leadership.
- Maintain comprehensive documentation, governance, and model risk controls.
- Leverage SQL, R, and Python to extract data, build reproducible workflows, and automate processes.
- Support regulatory reporting and ensure compliance with actuarial standards and best practices.
Qualification
- Bachelor's degree in Actuarial Science, Mathematics, Statistics, or related field; progress toward actuarial exams (e.g., C/1–5) or equivalent.
- 2–4 years of actuarial or analytics experience, preferably in insurance or retirement/pension sectors.
- Strong modeling skills including pricing, reserving, and forecasting; solid understanding of actuarial concepts.
- Proficiency in R or Python; SQL; familiarity with actuarial software such as Prophet, MoSes, or Moses is a plus.
- Excellent communication and presentation skills; ability to explain complex results to nontechnical stakeholders.
- Strong problem solving, data quality mindset, and attention to detail; ability to work in a fast-paced environment.
- Experience with regulatory reporting, model governance, and risk management is desirable.
- Ability to work independently and in cross-functional teams; internship or consulting experience is a plus.