Become an integral part of our Business Banking team! Each day will be unique - bring a positive attitude, entrepreneurial spirit and get ready to roll up your sleeves. This position is an essential part of the team and will have exposure to several aspects of running a banking office.
Job Summary:
As a Quant Analytics Associate Sr. in Business Banking, you will be responsible for scanning across large multi-platform data ecosystems, research data patterns, and build automation solutions, analytics framework, and data consumption architecture used by Decision Sciences, Product Strategy, Finance, Risk and Modeling teams. You will be analytically/technically strong with experience in financial services, preferably serving the small business banking or commercial banking segments.
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Job Responsibilities:
- Effectively partner, collaborate, and communicate across lines of business, functional groups, stakeholders, analytics, controls and technology;
- Develop strategic data solutions across disparate product domains, platforms and technologies;
- Apply data controls, security and operational monitoring in solutions development;
- Build trusted relationships in a matrixed environment;
- Solve problems - have tenacity in finding answers, problem structuring, and having a point of view;
- Remain flexible and adaptable to change ;
- Take direction well but also able to work with limited supervision;
- Have a passion for data and analytics, and how this information can be used to drive business innovation.
- Migrate Small Business Data to Public Cloud (AWS and Snowflake)
- Partner with Data Owners and D&A Leads to understand data roadmap that support analytics needs;
- Support data integration projects with external data providers into our systems;
Required qualifications, capabilities and skills:
- 3+ years of analytics, business intelligence, data warehouse, data architecture, or data governance experience
- Master's or Bachelor's degree in related field (e.g. Data Analytics, Computer Science, Math/Statistics or Engineering) with 3+ years' experience in related discipline
- Demonstrated understanding in programming languages such as: SQL, SAS, Python, Spark, Java or Scala
- Experience building relational data models in multiple technology platforms (Teradata, Oracle, Hadoop or Cloud e.g. AWS, GCP, or Azure)
- Hands-on experience in researching, testing and developing automated data processes including building a common framework to drive consistency and coding best practices
- Excellent documentation and communication skills both written and verbal
- Excellent time management, multi-tasking and prioritization skills including ability to self-manage
- Experience with internal controls and compliance with regulatory and contractual obligations
- Experience working with data visualization and presentation tools
- Knowledge of how to appropriate classify risk of data to tag for access management
- Ideally knowledge of Business/Commercial Banking products and services, including deposits, lending, cash management, credit cards and merchant services
Preferred qualifications, capabilities and skills:
- Experience in Big Data and Cloud platforms (Hadoop, Teradata, AWS, GCP, Azure)
- Experience in using data wrangling tooling (SQL, SAS, Alteryx, Python, Spark, Java, Scala, Snowflake, Redshift, Databricks)
- Experience in dynamic and interactive reporting/visualization applications such as Tableau
- Proficient in standard data architecture, data extraction, load processing, data mining and analytical methodology (e.g. logistic regression, match pairs, and neural networks)
- Proficient in scheduling job workflows using software such as Control-M or Alteryx Scheduler
- Working knowledge of code versioning software (e.g. Bitbucket) and document change management/workflow software (e.g. JIRA, Confluence)
ABOUT US
JPMorgan Chase & Co., 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
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.