Applied AI ML Sr Associate

JPMorganChase; Bengaluru; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

JPMorganChase is seeking an Associate in the Data Science and Capability team to design and develop attribute libraries that ensure data quality for ML models across the customer lifecycle. You will work with senior management to implement innovative attributes and scalable modeling solutions.

Role requires strong statistics, ML expertise, and experience communicating results to stakeholders, with a focus on reliability and data governance across the card business.

Qualifications

• Master’s or PhD in a quantitative field.
• 6 years of experience with large data and predictive models in credit card industry.
• Proficiency in Python, SAS, Spark, Scala, or TensorFlow.
• Experience with big data platforms such as Hadoop, AWS, Hive.
• Strong statistical methods and advanced ML techniques.
• Clear communication with senior management.

Responsibilities

• Design and develop attribute library to drive data quality for ML models across customer lifecycle.
• Utilize ML approaches to develop innovative attributes and models, and deploy to production.
• Manage attribute quality testing and monitoring with modern techniques and warning systems.
• Evaluate new data sources and data gathering techniques for model improvement.
• Collaborate with Marketing, Risk, Technology, Data Governance and Control teams.
• Own data and model quality, ensuring proper development standards and implementations.

Skills

Statistical analysis

Machine learning

Data interpretation

Communication with senior management

Python

SAS

Spark

Scala

TensorFlow

Education

Master’s or PhD in a quantitative field

Tools

Hadoop

HDFS

Teradata

AWS

Hive

Job description

Job Description

The Data Science and Capability team isa Center of Excellence within CCB Card Modeling focusing on ensuring that the data used in CCB Card models and strategies is of superior quality. The team uses both traditional techniques and advanced techniques like Artificial Intelligence to ensure the same.

Team’s focus is on quality and consistency of existing and new data attributes, developing critical data capability that help derive actionable insight using modern tools and techniques. We are looking for candidates with demonstrated extensive knowledge of data science techniques, strong statistical analysis skills, and expertise in logic and attention to details. In this critical role,the candidate will be responsible for the quality of data and attributes used in Machine Learning Models to safeguard our business and derivation of new information / attributes to identify new opportunities for revenue growth and risk mitigation in card business. The successful candidate must have demonstrated experience working with a wide range of stakeholders and functional teams and be able to effectively communicate results to senior management

Card Risk Modeling -Data Science and CapabilityTeam (Associate)

• Design and development of attribute library to drive consistency and improve quality of data used for machine learning models throughout the customer lifecycle (acquisition, account management, transaction authorization and collection)
• Work closely with the senior management team and utilize cutting-edge machine learning approaches to develop innovative attributes and machine learning modeling solutions, deliver them into production
• Manage attribute quality testing and monitoring by leveraging modern techniques to identify data and attributes issues, patterns, improve attributes accuracy, consistency and establish warning systems / tools
• Evaluate the effectiveness and accuracy of new data sources and data gathering techniques
• Collaborate with various partners in marketing, risk, technology, data governance and control, etc. throughout the entire attributing and modeling lifecycle
• Own quality of attributes and models developed, assuring accurate and appropriate development standards, and right implementation at all times
• Make contributions to the group’s knowledge base by proposing new and creative ways for approaching analytic problems and project design

Basic Qualifications

• Master’s / Phd degree from an accredited university in a quantitative field such as Computer Science, Mathematics, Statistics, Econometrics, or Engineering
• 6 years of experience working with large data, developing or managing the development and implementation of attributes and predictive models in the credit card industry.
• Ability to write high-quality code in traditional as well as modern platforms. At least three years professional experience and proficiency in coding (e.g. Python, SAS, Spark, Scala, or Tensorflow) and big data platform (e.g., Hadoop, HDFS, Teradata, AWS cloud, Hive)
• Solid understanding of advanced statistical methods and advanced machine learning techniques: GLM/Regression, Random Forest, Boosting, Trees, neural networks, clustering, KNN, anomaly detection, simulation, scenario analysis, modeling, etc.
• Strong ability to understand and interpret data
• Advanced problem-solving skills and exceptional analytical skills
• Polished and clear communications with senior management
• Experience working with US stakeholders will be helpful
• Ability to deliver high-quality results under tight deadlines and be comfortable with the manipulation, analysis, and summarization of large quantities of data.

JPMorganChase, 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.

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.