Data Domain Architect, Vice President

7 days ago

Columbus, United States JPMorgan Chase & Co Full time
Job DescriptionJOB DESCRIPTION

JPMorgan Chase is seeking a Vice President to join our Data Domain Architect team within the Consumer & Community Bank.

As a Data Domain Architect, Vice President in the Finance Decision Optimization group, you will actively collaborate with various stakeholders and functional teams to determine data and model requirements for constructing data pipelines and compiling complex predictive and optimization routines into executable Python packages for prototype QA testing and production deployment. This role provides an opportunity to apply your data science, data engineering, and Python machine learning application development skills in a dynamic and competitive environment.

Job responsibilities 

  • Building and compiling data pipelines, complex predictive models and optimization routines into executable packages for prototype QA testing and production deployment.
  • Assisting in solution back testing exercises for Fair Lending and other key stakeholders.
  • Conducting transaction data analyses with big data technologies on Cloud platforms and turn massive amounts of data into actionable insights that drive business value.
  • Creating opportunities to automate repeatable analysis for the business.
  • Working on cross functional teams and collaborate with internal and external stakeholders.
  • Proactively raise critical issues to the business and technology partners.
  • Keeping abreast of industry trends and provide recommendations for testing new and emerging technology.
  • Supporting ongoing technology evaluation process and proof of concept projects.
  • Keeping up with project delivery timelines and meet critical business needs.

Required qualifications, capabilities and skills 

  • A minimum of 8 years of relevant professional experience as a software developer, data/ML engineer, data scientist, or business intelligence engineer.
  • A Bachelor's degree in Computer Science, Financial Engineering, MIS, Mathematics, Statistics, or another quantitative field.
  • Practical knowledge of the banking sector, specifically in areas of retail deposits, auto, card, and mortgage lending.
  • Exceptional problem-solving abilities, coupled with a clear understanding of business requirements. Must be able to effectively communicate complex information to a wide range of audiences.
  • Must be highly detail-oriented, with a proven track record of delivering tasks on schedule.
  • A proven track record of success, as demonstrated by professional or educational achievements.
  • Eagerness to stay updated with the latest advancements in cloud data technologies and machine learning.

Preferred qualifications, skills and capabilities

  • Proficiency in Python programming, with a strong understanding of object-oriented and functional programming concepts, and its application in data processing and machine learning.
  • Expertise in Linux bash shell command environment and Git for version control and collaborative coding.
  • Advanced SQL skills for complex query writing, data manipulation, and analysis, coupled with strong experience in data engineering, including ETL processes.
  • Proficiency with the Anaconda ecosystem, including Pandas, NumPy, and SciPy, and practical experience integrating and implementing machine learning algorithms using TensorFlow and XGBoost.
  • Extensive knowledge of Apache Spark, with experience optimizing Spark jobs for performance and scalability within Databricks, and hands-on experience with AWS EC2, EMR environments, and S3/EFS storage.
  • Ability to analyze data using tools such as Tableau and Alteryx to develop and automate reports or analyses that lead to actionable business insights, along with experience in data analysis, cleansing, modeling (including machine learning, time series, NLP), and visualization.
  • Knowledge of data modeling, data governance, and compliance standards relevant to handling sensitive data and familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes)
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, discretionary incentive compensation which may be 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.

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