Quantitative Advisory Associate

Novareth

New York, NY0–2 yrs2h agovia LinkedIn

This job at a glance

Who can apply
New grads and up to 2 years
Must know
Data analysisMachine learningLLMsBudgetingPythonJava
Work
On-site in New York
Pay
Not stated by the employer.
Skill demand
Data analysis28%Budgeting23%LLMs5%Machine learning4%of 99 similar entry-level jobs posted in the US this week
Listed
Nov 7, 2026 · still open

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About the Role

This role focuses on risk management, regulatory compliance, and data analytics within Novareth's Financial Services Organization (FSO). The Quantitative Advisory Services (QAS) group provides comprehensive quantitative risk management services to clients across Banking & Capital Markets, Insurance, and Wealth & Asset Management sectors. The team focuses on projects involving the development, implementation, testing, and validation of analytic models for various risk management functions and regulatory capital analytics. The QAS team also leverages advanced analytics applications, including Artificial Intelligence / Machine Learning (AI / ML) and Generative AI (GenAI).

Key Responsibilities

  • Identify, measure, manage, and monitor market, credit, operational, and liquidity risks.
  • Provide services for asset-liability management and capital management.
  • Develop, implement, test, and validate analytic models for:
  • Risk management (market risk, credit risk, liquidity/treasury risk, operational risk, compliance risk, climate risk).
  • Regulatory capital analytics (e.g., Basel III, FRTB, CCAR).
  • Front office derivative pricing across various asset classes.
  • Banking book credit analytics (e.g., loss forecasting, reserves/CECL, PPNR).
  • Balance sheet management.
  • Wealth and asset management.
  • Leverage advanced analytics applications, including AI / ML and GenAI.
  • Collaborate within a team environment on multiple projects.
  • Engage with clients.

Requirements & Tech Stack

  • Capability to effectively program computer routines using one or more languages such as C++, Java, Python, VBA, SAS, R, and SQL.

Qualifications

  • Strong academic record with a Master’s degree in Computational / Quantitative Finance, Mathematics, Physics, Engineering, Statistics, Economics, Computer Science, etc.
  • 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, initiative, and drive for execution.
  • Advanced analytical and problem-solving skills within a dynamic business landscape.
  • Agile and growth-oriented mindset.
  • Access to reliable transportation to/from the company office and client sites.
  • A driver’s license is strongly recommended.
  • Ability and willingness to travel and work in excess of standard hours when necessary.
  • Willingness to travel beyond your work location based on client and project needs in certain circumstances.
  • Immigration sponsorship may be available.

What We Offer

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

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