Job Description

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The "Analytics Solutions Sr Associate - Pricing Optimization Data" will be an integral part of a global team that delivers on all data-related needs in support of Finance's Price Optimization Modeling book of work. The Finance department has shown that machine learning techniques can help set the most ideal product price points to maximize revenue while minimizing customer churn. It now seeks to roll out these advanced analytics capabilities across all products offered by Consumer and Community Banking. This effort will require massive amounts of data to be identified, harvested, curated, and provided to the data science teams to construct new machine learning models.

Key responsibilities for this Associate-level position include:

Collaborate with model developers to identify data requirements, ensure source data availability in the appropriate data environment and construct "model ready" datasets
Assist with the unification and organization of pricing data in a fashion that allows successful usage through multiple phases of model development
Design curated data sets required for cross product and customer centric price optimization managing across D&A, Risk, Finance environments
Work with resources from other teams to bring marketing, customer journey, and risk data together with finance data to be used in Pricing models and dashboards.
Assist with the cloud data migration for the Pricing product
Other responsibilities of the team will include::

Participate in ongoing product backlog refinement planning with technology partners to drive progress of modeling data needs spanning the full modeling lifecycle
Manage data across multiple platforms and deployment paths, differentiate between legacy and target state platforms, manage and track "tech debt"
Develop data subject matter expertise across a broad range of cross domain data
Adhere to data use and controls requirements
Communicate task status and issues to management
Support legacy model execution while target state solutions are developed
Enable the management of data as a corporate asset: define data (metadata), identify systems of record and authoritative sources, create data quality rules, define security requirements, create data flow diagrams, and adhere to firm-wide principles, standards, and controls
Collaborate with data modelers to construct conceptual and logical models to describe a particular domain of data and use these models to inform the physical design of data-related projects
Profile, wrangle, and prepare data from diverse sources to support modeling efforts in languages such as Python, SAS, Spark, or Scala
Conduct business process analysis and identify data needed to support the processes and determine whether the firm's data is fit for use within a given process
Assist in hands-on R&D / POC activities for emerging technologies
Qualifications

1) 8+ Years of experience performing various roles in Strategic Planning, Software development and Solution Architecting.
2) 2+ years of experience in Cloud platform (AWS) .
3) 5+ Years of development experience with Big Data Hadoop cluster(HDFS, MapReduce frameworks), Hive Oozie and Spark.
4) 5+ Years of programming experience in Python, SAS with strong database architecture knowledge
5) Hands on experience on AWS cloud services (VPC, EC2, S3, RDS, Redshift, DMS, EMR, Data Pipeline, CloudFormation, Lambda, RDS, SNS, SQS and more).
6) BS or higher in Computer Sciences or related field
7) Experience in Python, Pyspark and other cloud related technologies
8) Being meticulous about tracking things and follow-through.
9) Knowledge of complex data pipelines and data transformation
10) Ability to understand big data use-cases and recommend standard design patterns commonly used in Hadoop-based deployments

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. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.

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.