Quant Analytics - Senior Associate

Posted 22 Hours Ago
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New York, NY
Hybrid
7+ Years Experience
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
As a Quant Analytics Senior Associate, you will translate business needs into data models, create data points, collaborate with various teams, and present insights to stakeholders. You will work on delivering insights in descriptive, diagnostic, predictive, and prescriptive analytics within the Payments Analytics team.
Summary Generated by Built In

Job Description
As a Quant Analysts, Senior Associate within our Payments Analytics team, you will combine your analytic skills with specific domain knowledge to make data actionable. You will be the bridge between analytic and non-analytic groups, facilitating holistic, cross-functional learning. Your role will involve collaboration, learning, teaching, and disseminating knowledge across the Data and Analytics community. You will work closely with Payments Product Owners to deliver insights through descriptive, diagnostic, predictive, and prescriptive analytics. Your goal will be to build consensus with Product Owners on promoting customer engagement by defining metrics, sourcing data, developing queries, and creating reports. This role provides an excellent opportunity to apply your skills and make a significant impact in our organization.
Responsibilities

  • Understand and translate business needs into data models supporting long-term solutions
  • Create data points using best practices to ensure high data quality and reduced redundancy
  • Rationalize complex normalized data sets allowing for ease of cross org consumption
  • Partner closely and collaborate with Product teams, Data management teams, Strategy teams, Technology Teams and broader D&A organization resources across multiple functional units to understand business requirements and objectives
  • Translate data into meaningful insights and present a compelling story to stakeholders for decision making
  • Bring in experience in the production, optimization and automation of recurrent reports


Required Qualifications, capabilities and skills

  • Intermediate knowledge of SQL, Alteryx and/or Tableau
  • Intermediate experience with Adobe Analytics knowledge
  • Adept at explaining and converting complex concepts into digestible information to be consumed by audiences of varying levels of expertise
  • Intellectually curious and eager to learn new things with an eye for innovation
  • Being able to demonstrate initiative, completing projects/tasks independently is highly desire
  • Highly organized and able to prioritize multiple tasks; Good written and oral communication skills
  • Operational business knowledge of processes, data, controls, and technology platforms


Required Qualifications, capabilities and skills

  • Bachelors with 8+ years of analytics experience; Degree in quantitative or related field preferred
  • Functional industry experience in operations, marketing, credit/risk, technology or finance
  • Intermediate knowledge of Machine Learning
  • Demonstrated experience with business intelligence and data wrangling tools such as SAS EG, SAS Viya, Python, Snowflake and Alteryx is key
  • Experience with visualization techniques for data analysis and presentation (Tableau preferred)
  • Basic skills with JIRA, Confluence
  • Familiarity with Cloud (AWS, Snowflake) based data solutions and tools


*** Relocation assistance is not available for this role
About Us
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
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.
Equal Opportunity Employer/Disability/Veterans
About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

Top Skills

Alteryx
Python
SAS
Snowflake
SQL
Tableau

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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