Chase
New York, NY
2027 Quantitative Research - Risk and Treasury - Summer Internship - Associate - United States
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Apply to 2027 Quantitative Research - Risk and Treasury - Summer Internship - Associate - United States at ChaseJob details
- Location
- New York, NY
- Work type
- Onsite
- Compensation
- $119,000 - $170,000/yr
- Visa
- Sponsorship available
- Posted
- yesterday
- Apply on
- jpmc.fa.oraclecloud.com
About this role
Chase is a leading financial services firm, and they are seeking a Quantitative Research – Risk and Treasury Summer Associate. In this role, you will apply academic knowledge to real-world financial challenges, gain hands-on experience, and collaborate with top-tier professionals.
What you'll do:
- Analyze data to identify patterns and trends
- Conduct back testing and assess strategies
- Maintain and improve software systems and tools for risk and treasury operations
- Assess models for conceptual soundness, risks, and enhancements
- Propose creative solutions to complex challenges
- Collaborate with internal teams to advance risk and treasury services
- Focus on model development and review of conceptual design
- Develop, validate, and enhance mathematical models and algorithms
- Optimize financial solutions across asset classes and instruments
What they're looking for:
- Enrolled in a Master's, or PhD program in mathematics, statistics, physics, engineering, computer science, economics, or data science/machine learning, graduating between December 2027 and July 2028 in the U.S
- Proficiency in Python, and/or C++ programming
- Strong modeling, analytical, quantitative, and problem-solving skills
- Excellent communication skills for presenting complex concepts
- Interest in banking analytics, global markets, and quantitative research
- Ability to thrive in a fast-paced, collaborative environment
- Preferred to have candidates who enrolled in a 2 years Master's or PhD program
- Experience with R, MATLAB, or SQL
- Understanding of banking products, financial instruments, and market dynamics
- Strong organizational skills for managing multiple projects
- Ability to articulate complex quantitative concepts to diverse audiences
- Familiarity with AI tools used in research and programming
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