Quantitative Advisory Associate

Calder Row

New York, NY0–2 yrs1h agovia LinkedIn

This job at a glance

Who can apply
New grads and up to 2 years
Must know
Data analysisMachine learningLLMsStatisticsPythonJava
Work
On-site in New York
Pay
Not stated by the employer.
Skill demand
Data analysis35%Statistics32%Machine learning8%LLMs5%of 99 similar entry-level jobs posted in the US this week
Listed
Oct 28, 2026 · still open

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About the Role

This role focuses on risk management, regulatory compliance, and data analytics. It operates as an integral component of a broader team that provides comprehensive quantitative risk management services to help identify, measure, manage, and monitor market, credit, operational, and liquidity risks, asset-liability management, capital management, and other business activities for clients across the Banking & Capital Markets, Insurance, and Wealth & Asset Management sectors. The team is dedicated to projects focused on the development, implementation, testing, and validation of analytic models.

Key Responsibilities

  • Providing quantitative risk management services.
  • Developing, implementing, testing, and validating analytic models.
  • Utilizing advanced analytics applications, including Artificial Intelligence / Machine Learning (AI / ML), and Generative AI (GenAI).
  • Collaborating within a team environment on multiple high-profile projects.
  • Engaging with clients.

Requirements & Tech Stack

  • Master’s degree in Computational / Quantitative Finance, Mathematics, Physics, Engineering, Statistics, Economics, Computer Science, or a related field.
  • Capability to program computer routines using one or more languages such as C++, Java, Python, VBA, SAS, R, and SQL.
  • Ability to work collaboratively in a team environment, demonstrate inclusivity, and embrace diverse perspectives.
  • Excellent presentation skills and ability to communicate complex concepts effectively.
  • Intellectual curiosity, ability to take initiative and drive execution, with advanced analytical and problem-solving skills.
  • Agile and growth-oriented mindset.
  • Access to reliable transportation and a driver's license is strongly recommended.
  • Ability and willingness to travel and work in excess of standard hours when necessary.

What We Offer

  • Health benefits
  • 401(k) plan
  • Paid time off

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