Quant Analytics Associate - Data Engineer

JPMorgan Chase

Mumbai, Maharashtra
Permanent
Full-time

15 days ago

Job Description:Job Responsibility:

Migrate Small Business Data to Public Cloud (AWS and Snowflake)

Partner closely with BB Executive Director of Automation and Transformation to execute on new build and conversion book of work to the Cloud data consumption platform;
Partner with Data Owners and D&A Leads to understand data roadmap that support analytics needs;
Partner with CCB Architecture and technology scrum teams where needed on data modernization;
Identify, prioritize, develop and coordinate the migration of legacy and new data needs to align with Small Business Data Strategy;
Develop consumption data model that bridges the data within and across line of business to increase scale, use and value;
Streamline and automate data assets that support cross-product data sharing, self-serve analytics, and dashboards;
Research and identify technology data gaps (missing fields for analytical calculations) and partner with product technology to build into upstream systems to support analytics needs;
Define, develop and establish Modeling Team roadmap and implementation planning for our Modeling, Machine Learning & AI Ecosystems;
Support data integration projects with external data providers into our systems;
Build and incorporate data audit checks and control standards

Required Qualifications, Skills and Capabilities

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
Ability to network and work effectively with colleagues at all levels of technical and business expertise
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
Financial Service industry experience desired, but we are open to evaluating candidates with strong analytics and technical background from other industries
Ideally knowledge of Business/Commercial Banking products and services, including deposits, lending, cash management, credit cards and merchant services

Preferred Qualifications, Skills and Capabilities

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 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.

JPMorgan Chase

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