1+ months

Applied AI ML Modeling (International Consumer) - Associate

London, MI 48159
  • Job Code
    210318595

Organization Description

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 Decision Science team is responsible for managing the development of risk modeling capabilities supporting International Consumer, a newly launched digital-only bank in the United Kingdom. The team encompasses a variety of disciplines from data science and machine learning, to data governance, strategy and reporting. The team powers International Consumer with insights to create the best customer and business outcomes.

Hiring Manager: Riccardo Benetti,

Job Description

In this role, the candidate will be responsible for developing machine learning models for a wide range of business cases in the area of financial crime and credit decisioning, and support the relevant stakeholders in various business functions, including governance, strategy and reporting.


Key Responsibilities

  • Develop machine learning models to assist and improve the decision making process of other business functions within International Consumer Business.
  • Carry out model performance evaluation and monitoring, to support the business stakeholders, provide analytical insights and reporting.
  • Liaise with other business functions within the business as needed, from governance to strategy and compliance.


Qualifications

  • Masters or PhD in a quantitative subject, ideally in Mathematics, Statistics, Computer Science or Engineering.
  • Experience in machine learning, advanced statistics and big data
  • Experience in data analysis in Python
  • Experience with SQL and/or Pandas, with a strong ability to write complex queries
  • Distinctive problem-solving skills and impeccable business judgment
  • Ability to translate analysis results into business recommendations, and excellent written and confident verbal communication skills
  • Demonstrated ability to think beyond raw data and to understand the underlying business context and sense business opportunities hidden in data
  • Strong written and oral communication skills; ability to communicate effectively with all levels of management and partners from a variety of business functions
  • Self-starter who can provide insights and drive results in a dynamic and fast evolving environment

Keyword: card%20services

Organization Description

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 Decision Science team is responsible for managing the development of risk modeling capabilities supporting International Consumer, a newly launched digital-only bank in the United Kingdom. The team encompasses a variety of disciplines from data science and machine learning, to data governance, strategy and reporting. The team powers International Consumer with insights to create the best customer and business outcomes.

Hiring Manager: Riccardo Benetti,

Job Description

In this role, the candidate will be responsible for developing machine learning models for a wide range of business cases in the area of financial crime and credit decisioning, and support the relevant stakeholders in various business functions, including governance, strategy and reporting.


Key Responsibilities

  • Develop machine learning models to assist and improve the decision making process of other business functions within International Consumer Business.
  • Carry out model performance evaluation and monitoring, to support the business stakeholders, provide analytical insights and reporting.
  • Liaise with other business functions within the business as needed, from governance to strategy and compliance.


Qualifications

  • Masters or PhD in a quantitative subject, ideally in Mathematics, Statistics, Computer Science or Engineering.
  • Experience in machine learning, advanced statistics and big data
  • Experience in data analysis in Python
  • Experience with SQL and/or Pandas, with a strong ability to write complex queries
  • Distinctive problem-solving skills and impeccable business judgment
  • Ability to translate analysis results into business recommendations, and excellent written and confident verbal communication skills
  • Demonstrated ability to think beyond raw data and to understand the underlying business context and sense business opportunities hidden in data
  • Strong written and oral communication skills; ability to communicate effectively with all levels of management and partners from a variety of business functions
  • Self-starter who can provide insights and drive results in a dynamic and fast evolving environment

Keyword: card%20services

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Applied AI ML Modeling (International Consumer) - Associate

JPMorgan Chase & Co.
London, MI 48159

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