Senior Associate Data Scientist - Private Client Office

Posted Yesterday
Columbus, OH
Hybrid
Mid level
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
The Senior Associate Data Scientist will support partner relationships within the Private Client Sales Strategy team by analyzing data, reporting outcomes, conducting deep dives, and analyzing portfolio performance. The role involves collaborating with various partners and providing analytical insights using statistical techniques, predictive modeling, and big data technologies.
Summary Generated by Built In

Job Description
Join us to reshaping the future!
As a Sales Senior Associate Data Scientist within the JP Morgan Private client Sales Strategy team, you will be responsible for supporting partner relationships through analytical data exploration and reporting on outcomes. You will conduct ad-hoc (diagnostic/tactical/strategic) deep dives, design tests, and analyze overall portfolio performance, with an emphasis on controls execution and monitoring. You will serve as an internal partner collaborator and be responsible for providing analytical insights.
Job Responsibilities:

  • Collaborate with business partners & Technology to formulate quantifiable goals, advise on strategies and experimentation to achieve business goals.
  • Collaborate across data & analytics functions (Modeling, Execution and Centers of Excellence).
  • Manage effective engagement in initiatives which require the development and deployment of advanced analytical solutions.
  • Advocate for specific data needed to monitor performance, targeting and execution, and other analytical support for business. goals and maintain, improve, and assess processes and controls in support of business results.
  • Coach junior team members in campaign analysis methods and approaches.
  • Follows industry trends and tests new tools and techniques to solve new/existing business challenges.


Required qualifications, capabilities, and skills:

  • 3+ years' experience with analysis supporting an operating line of business.
  • Bachelors with experience in a quantitative or related discipline or Masters or PhD in a related field
  • Intermediate knowledge of statistical software packages, including SAS, Python and R
  • Practical knowledge of advanced statistical techniques, predictive modeling, time series forecasting, text mining, Machine Learning
  • Experience in Big Data platforms and related technologies such as Hadoop, Hive, Pig, Apache Spark etc.
  • Technical understanding of common relational database systems; i.e., Teradata and Oracle
  • Excellent written and verbal communications skills with the ability to work and collaborate with internal and external partners.
  • Comfortable communicating complex concepts into digestible information to be consumed by audiences of varying levels in the organization
  • Problem-solving skills are essential. Must be able to think outside the box to implement creative solutions that solve business problems.
  • Proven ability to work in a fast paced environment, meet deadlines. Must be detail oriented, organized, and perform at high standards


Preferred qualifications, capabilities, and skills:

  • Technical understanding of data extraction, transformation, and load processing
  • Experience with dynamic and interactive reporting applications such as Alteryx and Tableau
  • Advanced understanding of Hadoop-related technologies & their applications


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

Python
R
SAS

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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