Summer Quant Tech Analyst, Capital Markets

0000050176 RBC Capital Markets, LLC; Jersey City (NJ); On-site; USD 94,000 - 127,000; Full time

Job summary

RBC Capital Markets invites applications for a Summer Analyst Program in Jersey City. You will work on meaningful projects that shape how we serve clients—from building data pipelines to support decision-making and from developing trading-oriented tools to deploying AI-powered solutions.

You will be mentored by technologists and gain hands-on exposure to machine learning, cloud infrastructure, and algorithmic trading systems.

Qualifications

• Entering the final year of a four-year college or university program or enrolled in a relevant master's program (anticipating graduation Winter 2027 or Spring 2028)
• Strong analytical and problem-solving skills
• Demonstrated interest in technology, financial markets, or both
• History of academic excellence
• Strong communication and interpersonal skills
• Preferably pursuing a degree in Computer Science, Engineering, Mathematics, Physics, Statistics, Data Science or Business Analytics

Responsibilities

• Develop data pipelines that power decision-making and trading workflows.
• Build intelligent trading systems and platforms under supervision of lead architects.
• Design, develop and deploy tools that deliver client value in capital markets.

Skills

Python

Java

C#

C/C++

Scala

SQL

NoSQL

Spark

Kafka

AWS

Azure

GCP

Docker

Kubernetes

Git

CI/CD

Machine learning

Financial markets

Data pipelines

Business Analytics

Education

Final year student (Bachelor’s/Master’s)

Master’s program (expected graduation Winter 2027 or Spring 2028)

Tools

.NET

J2EE

Job description

RBC Capital Markets invites applications for a Summer Analyst Program in Jersey City. You will work on meaningful projects that shape how we serve clients—from building data pipelines to support decision-making and from developing trading-oriented tools to deploying AI-powered solutions.

You will be mentored by technologists and gain hands-on exposure to machine learning, cloud infrastructure, and algorithmic trading systems.