Quantitative Advisory Associate
Skillmorph
New York, United States0–2 yrs16m agovia LinkedIn
This job at a glance
- Who can apply
- New grads and up to 2 years
- Must know
- Data analysisMachine learningLLMsPythonJavaC++
- Work
- On-site in New York
- Pay
- Not stated by the employer.
- Skill demand
- Python33%Data analysis30%LLMs10%Machine learning9%of 98 similar entry-level jobs posted in the US this week
- Listed
- Nov 10, 2026 · still open
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About the Role
This role focuses on risk management, regulatory compliance, and data analytics within the Quantitative Advisory Services (QAS) group of the Financial Services Organization (FSO). The QAS group provides quantitative risk management services to clients across Banking & Capital Markets, Insurance, and Wealth & Asset Management sectors. The team works on projects involving the development, implementation, testing, and validation of analytic models for various applications.
Key Responsibilities
- Operate as an integral component of a broader team providing comprehensive quantitative risk management services.
- Identify, measure, manage, and monitor market, credit, operational, and liquidity risks, asset-liability management, and capital management for clients.
- Engage in projects focused on the development, implementation, testing, validation, and other quantitative services of analytic models.
- Utilize advanced analytics applications, including Artificial Intelligence / Machine Learning (AI / ML) and Generative AI (GenAI), to deliver insights and solutions.
- Work collaboratively on multiple high-profile projects.
- Learn and engage with clients and the company's services.
Requirements & Tech Stack
- Capability to effectively program computer routines using one or more languages such as C++, Java, Python, VBA, SAS, R, and SQL.
- 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.
- Immigration sponsorship may be available.
Qualifications
- A strong academic record with a Master’s degree in Computational / Quantitative Finance, Mathematics, Physics, Engineering, Statistics, Economics, Computer Science, or a related field.
- The ability to work collaboratively in a team environment, demonstrate inclusivity, and embrace diverse perspectives.
- Excellent presentation skills and the ability to communicate complex concepts effectively to all audiences.
- Intellectual curiosity, the ability to take initiative and drive execution, with advanced analytical and problem-solving skills within a dynamic and evolving business landscape.
- Exhibits an agile and growth-oriented mindset.
What We Offer
- Health benefits
- 401(k) plan
- Paid time off