Senior Quantitative Investment Risk Analyst

KKR

New York (NY)

Sur place

USD 150 000 - 200 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Discretionary bonus based on performance
Equal opportunity employer
Reasonable accommodations for applicants

Résumé du poste

KKR is seeking an experienced Investment Risk professional in New York to join the Investment Risk team. The candidate will design portfolio risk monitoring frameworks and develop quantitative analytics to strengthen decision-making across the firm.

The ideal candidate will have over 6 years of experience in investment risk or asset management, proficient in Python and SQL, and capable of working with complex datasets. Strong communication skills and a collaborative mindset are essential for success in this hands-on role.

Qualifications

  • 6+ years of relevant experience in investment risk or asset management.
  • Strong knowledge of investments and risk drivers across fixed income and equity-like assets.
  • Ability to work with large, multi-source datasets.

Responsabilités

  • Design portfolio risk monitoring frameworks across various asset classes.
  • Automate key risk reporting and controls using Python and SQL.
  • Partner with various teams to connect asset-level analysis to enterprise risk decisions.

Connaissances

Investment risk analytics
Python programming
SQL skills
Statistical modeling
Data science

Formation

Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, Engineering, Finance, or Economics

Outils

AI-enabled tools
Dashboards

Description du poste

KKR is seeking an experienced Investment Risk professional in New York to join the Investment Risk team. The candidate will design portfolio risk monitoring frameworks and develop quantitative analytics to strengthen decision-making across the firm.

The ideal candidate will have over 6 years of experience in investment risk or asset management, proficient in Python and SQL, and capable of working with complex datasets. Strong communication skills and a collaborative mindset are essential for success in this hands-on role.

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