Ccb Risk - Bengaluru, India - JPMorgan Chase Bank, N.A.

JPMorgan Chase Bank, N.A.

Verified Company

Bengaluru, India

1 week ago

Posted by:

Deepika Kaur

beBee Recuiter

Description

As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient.

You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities.

Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class.

Chase Consumer & Community Banking (CCB) serves consumers and small businesses with a broad range of financial services, including personal banking, small business banking and lending, mortgages, credit cards, payments, auto finance and investment advice.

Consumer & Community Banking Risk Management partners with each CCB sub-line of business to identify, assess, prioritize and remediate risk.

Chase Card Services is the top issuer of US credit cards.

You will be part of the Data Science and Capability team which is a Center of Excellence within CCB Card Modeling Team.

The team uses combination of traditional and Artificial Intelligence techniques to design best in class predictive attributes of superior quality.

You will be engaged in evaluating new data sources and researching new methods of attributes creation. These attributes significantly contribute in revenue growth and risk mitigation in card business. This team develops critical data capabilities to help derive actionable insight using modern tools and techniques.

In this critical role, you will also be responsible for the quality of data and attributes used in Machine Learning Models to safeguard our business.

Your key responsibilities will be:

Design and development of set of predictive variables, aka 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 cuttingedge 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
Make contributions to the group's knowledge base by proposing new and creative ways for approaching analytic problems and project design

Minimum Skills, Experience and Qualifications

D. or Master's degree from an accredited university in a quantitative field such as Computer Science, Mathematics, Statistics, Econometrics, or Engineering

3 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 highquality 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 problemsolving skills and exceptional analytical skills
Polished and clear communications with senior management
Experience working with US stakeholders will be helpful
Ability to deliver highquality results under tight deadlines and be comfortable with the manipulation, analysis, and summarization of large quantities of data.

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