Data Scientist Associate - (Payments) - Analytics & Reporting

Posted 6 Hours Ago
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Toronto, ON
Hybrid
Mid level
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
The Data Scientist Associate will analyze key metrics, conduct data analyses, and collaborate with various teams to enhance business strategies and improve experiences for partners and merchants. Responsibilities include statistical modeling, data visualization, and developing analytics solutions for decision-making processes.
Summary Generated by Built In

Job Description
The JPMorgan Chase SMB Payments Analytics team aims to foster a data-driven culture and enable fact-based decision-making. Business Analytics supports this vision by providing data and promoting the adoption of analytics insights. We seek a Data Anak to enhance our analytics capabilities.
Job Summary:
In this role, you will identify key metrics and conduct in-depth analyses to guide business strategies. You will collaborate with cross-functional teams, including Product, Sales, Marketing, Account Management, and Risk, to upsell and cross-sell products and improve partner and merchant experiences.
The ideal candidate will frame business issues, design appropriate analyses, and be fluent in SQL, Python, and other big data techniques. You should be adept at developing insights and building narratives to support key initiatives.
Job Responsibilities:

  • Collaborate with various functions to develop insights and analytic solutions for clients.
  • Conduct in-depth analyses and build statistical models to identify trends and key drivers for product, sales, risk, and operations decisions.
  • Create data visualizations using existing tools or developing new ones, and enhance business dashboards.
  • Implement processes and build tools to improve data access, extraction, and analysis efficiency.
  • Build and maintain relationships with internal teams to proactively identify and address business needs using analytics.


Required qualifications, capabilities, and skills:

  • 2+ years of experience in quantitative data analysis, ideally in the online payments industry.
  • B.S. or M.S. in a quantitative field, such as Statistics, Applied Mathematics, Engineering, or Computer Science, from a top school.
  • Proficiency in SQL and experience with statistical software or programming languages like R or Python.
  • Experience with Looker, Tableau, or other data visualization and BI tools.
  • Strong attention to detail and organizational skills.
  • Ability to handle ambiguously defined problems, develop creative solutions, and meet aggressive timelines.
  • Excellent communication and presentation skills, with the ability to translate data into actionable insights.
  • A team player who works well with teams across the company to achieve common goals.


About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
About the Team
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Top Skills

Python
R
SQL

What the Team is Saying

Nick S.
Lupe C.
Edwin T.
Dawn T.
Meng M.
The Company
HQ: New York, NY
289,097 Employees
Hybrid Workplace
Year Founded: 1799

What We Do

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands.

Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products.

Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com.

©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.

Why Work With Us

Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.

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