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Capital Markets, Quantitative Technology Services Summer Analyst

Job in Jersey City, Hudson County, New Jersey, 07390, USA
Listing for: RBC Capital Markets, LLC
Full Time, Seasonal/Temporary position
Listed on 2026-09-20
Job specializations:
  • Finance & Banking
  • IT/Tech
Salary/Wage Range or Industry Benchmark: 99000 - 121000 USD Yearly USD 99000.00 121000.00 YEAR
Job Description & How to Apply Below
Position: 2027 Capital Markets, Quantitative Technology Services Summer Analyst

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):
  • Prog…
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