Quant Analytics Associate - Data Engineer
Mumbai, Maharashtra, India
JPMorgan Chase & Co.
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)
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 FAQs for more information about requesting an accommodation.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure Banking Big Data Bitbucket Business Intelligence Computer Science Confluence Data Analytics Databricks Data governance Data Mining Data strategy Data visualization Data warehouse Engineering GCP Hadoop Java Jira Machine Learning Mathematics Oracle Python Redshift Research SAS Scala Scrum Snowflake Spark SQL Statistics Tableau Teradata Testing
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