Quantitative Risk Analyst - Portfolio Insights

Referment; New York (NY); Sur place; USD 140 000 - 180 000; Plein temps

Avantages offerts par ce poste

Year-end bonus

Medical coverage

401(k) matching

Wellness reimbursement

Family building benefits

Charitable gift match

Résumé du poste

Referment is seeking a Risk Analyst to join its Risk team in New York. The role will monitor risk exposures, develop analytics, and support capital allocation across multiple asset classes, collaborating with investment teams in a fast-paced environment.

You will apply statistical concepts to financial markets, translate complex findings for both technical and non-technical audiences, and contribute to ongoing risk-management initiatives and technology platforms.

Qualifications

• 2–5 years of relevant experience in risk analysis or quantitative fields.
• Bachelor’s degree in a quantitative/technical discipline.
• Proficiency in applying statistical concepts to financial markets and securities.
• Ability to communicate complex findings clearly to technical and non-technical audiences.

Responsabilités

• Monitor risk exposures across multiple asset classes and strategies.
• Develop and enhance data visualisations and analytical tools for risk reporting.
• Collaborate with investment teams to identify and communicate material changes in portfolio performance.
• Conduct in-depth analyses of business and event-driven risks for senior stakeholders.
• Participate in ongoing development of risk management processes and technology platforms.

Connaissances

Statistical concepts

Communication

Entrepreneurial mindset

Financial instruments knowledge

Formation

Bachelor's degree in quantitative/technical discipline

Graduate degree preferred

Outils

Data visualization tools

Risk management platforms

Description du poste

Referment is seeking a Risk Analyst to join its Risk team in New York. The role will monitor risk exposures, develop analytics, and support capital allocation across multiple asset classes, collaborating with investment teams in a fast-paced environment.

You will apply statistical concepts to financial markets, translate complex findings for both technical and non-technical audiences, and contribute to ongoing risk-management initiatives and technology platforms.