Data Scientist, Sr. Associate - Business Banking

NY, United States

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Are you passionate about leveraging data to drive business decisions? If you enjoy solving problems analytically and shaping the strategy for servicing millions of small businesses, then this opportunity is for you!

Job Summary:

As a Data Scientist, Sr. Associate on the Small Business Data and Analytics team you will be supporting Business Banking Strategy and Client Analytics. You will have an opportunity to leverage your analytical expertise to provide data-driven insights that inform strategic decisions in Business Banking, support high-visibility projects, and contribute to the development of materials for senior leaders (inc. external investors). If you are a quick learner with a growth mindset and want to use data science to shape the strategy for one of the largest businesses at Chase please apply today. 

Job Responsibilities 

  • Collaborate with Business Banking Strategy to identify key business challenges and opportunities, and develop data-driven solutions to address them
  • Apply statistical methods and data analysis to solve business problems, under guidance from senior team members
  • Support all project phases, from requirements gathering and analysis to delivering insights to senior leaders
  • Navigate large amounts of data from multiple sources, utilizing Python and SQL for data processing and analysis, while ensuring accuracy
  • Work cross-functionally with other departments/SMEs to ensure data quality and methodologies are applicable and accurate
  • Maintain data integrity and security, complying with all relevant regulations and protocols
  • Actively participate in learning and development opportunities, staying abreast of current trends and best practices in data science, and applying newfound knowledge to enhance job performance and project outcomes

Required qualifications, capabilities, and skills:

  • Completion of Bachelor’s / Graduate degree in a quantitative field (Computer Science, Engineering, Operations Research, etc.) plus 4 years or more of experience in producing advanced analytics work with an emphasis in optimization
  • Strong proficiency in statistical software packages and data tools, including Python and SQL
  • Strong proficiency in Advanced Statistical methods and concepts, predictive modeling, time series forecasting, text mining
  • Strong proficiency in Data Mining & Visualization
  • Experience in Cloud and Big Data platforms such as AWS, Snowflake, Hadoop, Hive, Pig, Apache Spark, etc.
  • Strong story telling capabilities including communicating complex concepts into digestible information to be consumed by audiences of varying levels in the organization
  • Strong commitment to iterative development, with a proven ability to engage and update stakeholders bi-weekly or as necessary, ensuring alignment, feedback incorporation, and transparency throughout the project lifecycle.

Preferred qualifications, capabilities, and skills:

  • Experience in Financial Services, Consulting, or working with strategy teams is a plus
  • Experience presenting to senior leaders and stakeholders
  • Experience in Cloud and Big Data platforms such as AWS, Snowflake, Hadoop, Hive, Pig, Apache Spark, etc.

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

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Data Science Jobs

Tags: AWS Banking Big Data Computer Science Consulting Data analysis Data Mining Data quality Engineering Hadoop Predictive modeling Python Research Security Snowflake Spark SQL Statistics

Perks/benefits: Career development Competitive pay Health care Startup environment Wellness

Region: North America
Country: United States

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