RBC

2027 Capital Markets, Quantitative Technology Services Summer Analyst

RBC

Jersey City · Posted Sep 15

$110k/yr Finance
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Location: Jersey City, New Jersey, United States of America

Job Description

ABOUT RBC CAPITAL MARKETS

RBC Capital Markets is a premier investment bank that provides a focused set of products and services to corporations, institutional investors and governments around the world. With more than 7,100 professionals, we operate out of 70 offices in 15 countries across North America, the U.K., Europe, and the Asia-Pacific region.

We work with clients in over 100 countries to deliver the expertise and execution required to raise capital, access markets, mitigate risk and acquire or dispose of assets. According to Bloomberg and Dealogic, we are consistently ranked among the largest global investment banks. RBC Capital Markets is part of Royal Bank of Canada (RBC), one of the top 15 largest banks globally and fifth largest in North America, as measured by market capitalization. With a strong capital base and consistent financial performance, RBC is among a small group of highly rated global banks.

WHAT WILL YOU DO?

Join our Summer Analyst Program and make a real impact on the future of Capital Markets. You'll work on meaningful projects that shape how we serve clients - from building intelligent trading systems to developing data pipelines that power our decision-making. Alongside experienced technologists, you'll design, develop, and deploy tools that matter.

This isn't a passive learning experience. You'll own real deliverables in a collaborative project team setting, guided by RBC Capital Markets' lead architects and technologists. You'll gain hands-on exposure to cutting-edge technologies including machine learning, data engineering, cloud infrastructure, and algorithmic trading systems. Dedicated mentoring sessions with business-aligned technology leaders will deepen your understanding of how technology drives client value across trading, risk management, and market operations.

Beyond the work itself, you'll network with peers across Capital Markets through social events and skill-building sessions, building relationships that often lead to full-time opportunities.

You'll have the opportunity to contribute to one or more of these areas:

Architecture – Shape the foundational systems that power modern capital markets

eTrading & Algorithmic Trading Technology – Work on platforms that execute trades at scale with intelligence and precision

Commodities & Futures Technology – Apply data science and automation to commodity markets

Equities Technology – Leverage machine learning to enhance equity trading and market intelligence

Market Data Operations and Engineering – Build systems that aggregate, process, and deliver critical market data

Fixed Income & Currencies Technology – Develop analytical tools and trading systems for global markets

AI & Machine Learning Engineering – Build predictive models, develop recommendation systems, and optimize trading algorithms

WHAT DO YOU NEED TO SUCCEED?

We seek talented individuals with intellectual curiosity, a drive to solve complex problems, and the energy to thrive in a fast-paced environment. You should be confident in your abilities while remaining eager to learn, collaborate, and push boundaries.

Successful candidates will be evaluated on individual merit. We're looking for:

Essential 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

Valuable experience and skills (the more, the better):

Programming: Python, Java, C#, C/C++, or Scala; familiarity with frameworks like .NET or J2EE

Data Science & AI: Experience with machine learning libraries, statistical modeling, or predictive analytics

Data Engineering: SQL and/or NoSQL databases; ETL pipeline development; familiarity with tools like Spark or Kafka

Cloud & Infrastructure: AWS, Azure, or GCP; containerization (Docker, Kubernetes)

Software Engineering: Version control (Git), testing frameworks, agile methodologies

Systems & DevOps: Linux/Unix administration, CI/CD pipelines

Financial acumen: Understanding of markets, trading concepts, or financial products

Business Analysis: Requirements gathering and cross-functional collaboration

WHAT'S IN IT FOR YOU?

Hands-on mentorship from experienced technologists and emerging AI practitioners working on real problems

Exposure to diverse domains within Capital Markets

Tangible impact – your work directly influences how RBC serves institutional clients

Career acceleration – Summer Analysts often transition into full-time roles with accelerated progression

Skill development in high-demand areas including machine learning, cloud platforms, and modern software engineering

Network within one of the world's leading investment banks

Culture of innovation where we challenge conventions and embrace emerging technologies

We thrive on the challenge to be our best, think progressively, continue our growth, and deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our individual/collective potential, making a difference to our communities, and achieving success that is mutual.

From this experience you would gain:

Direct exposure and hands-on experience including opportunities to do challenging work

Ability to make a difference and lasting impact

Opportunity to connect with different Capital Markets businesses

Ability to work in a dynamic, collaborative, progressive, and high-performing team

Training including orientation sessions as well as an in-class curriculum and regular information sessions with key business leaders

The good-fai

What they are looking for

Python Java C# Sql Scala

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