RBC · 3 weeks ago
US Wealth Management Data Scientist, RBC Capital Markets, LLC, Minneapolis, MN:
Minneapolis, Minnesota, United States of America
Full-time
Hybrid
Senior Level
$142K/yr - $142K/yr
5+ years expRBC is a leading global bank offering a range of financial services, and they are seeking a US Wealth Management Data Scientist. The role involves analyzing and implementing data science solutions to enhance business insights and drive improvements in wealth management strategies.
BankingFinancial ServicesWealth Management
Responsibilities
Analyze, design and implement data science / machine learning ("ML") solutions using RBC’s enterprise suite of analytics tools
Reviewing large data sets to explore and discover new insights that would have not been possible with traditional analytics
Leveraging leading edge technologies and capabilities, this role applies machine learning and statistical modelling techniques to help RBC US Wealth Management understand the changing business environment, discover new growth opportunities and determine where business improvements can be made
Collaborate with key business partners and stakeholders to understand business objectives/opportunities and problem statements in order to provide solutions that align to business needs that are actionable with a tangible outcome
Prepare and transform data (structured/non-structured)
Develop and deploy ML solutions at scale
Prepare, integrate large and varied datasets and implement statistical and ML models using Python and R
Leverage visualization tools/packages to story-tell and to convey data-driven insights with actionable recommendations to key stakeholders
Quickly learn new methods, tools and technologies presented in research communities to implement, adapt and innovate
Effectively communicate findings to business partners and executives
Qualification
Required
Must have a Bachelor's degree or foreign equivalent in Statistics, Mathematics, Computer Science, or related field and 5 years of progressive post-baccalaureate related work experience
Alternatively, the employer will accept a Master's degree or foreign equivalent in Statistics, Mathematics, Computer Science, or related field and 3 years of related work experience
Must have 3 years of experience in working in the wealth management industry, with the ability to develop analyses and models relevant for financial advisors and senior management
Must have 3 years of experience in creating automated Data ETL processes using scripting Languages, such as Python/SQL, to consolidate data from multiple sources and to streamline future development
Must have 3 years of experience in creating data features for machine learning
Must have 3 years of experience in automating and documenting data analysis processes using Python, including effectively transitioning completed work to a production support team, optimizing workflow and enabling the allocation of resources to additional projects
Must have 3 years of experience in transforming and analyzing large data sets, including historical transactional data, to develop insights and effectively identify anomalies
Must have design, development, and implementation experience utilizing data science projects using scripting languages (Python, Java, R, and SQL)
Must have the ability to code, explain, and select intermediate machine learning models (Random Forest, XGBoost, and K-means)
Must have experience increasing adoption of models by educating business users on the modeling process and the reliability of models
Benefits
Discretionary bonus
401(k) program with company-matching contributions
Health, dental, vision, life and disability insurance
Paid time-off plan
Company
RBC
Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance.
10001+ employees
H1B Sponsorship
RBC has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (29)
2024 (17)
2023 (3)
2022 (4)
2021 (1)
2020 (2)
Funding
Current Stage
Public CompanyTotal Funding
$16.3B2025-10-30Post Ipo Debt· $5B
2025-09-15Post Ipo Debt· $1.35B
2025-07-10Post Ipo Debt· $177.74M
Leadership Team
Graeme Hepworth
Chief Risk Officer
Kelly Bradley
Chief Human Resources Officer
Recent News
Private Capital Journal
2026-01-09
2026-01-08
Company data provided by crunchbase