Applied AI ML Senior Associate at JPMC Candidate Experience page

Mumbai, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

17 May, 26

Salary

0.0

Posted On

16 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Model Management, Vendor Models, Fraud Risk, Model Risk Governance, Compliance Review, Performance Monitoring, Risk Strategy, Stakeholder Management, Risk Mitigation, Predictive Risk Models, Data Science, Machine Learning

Industry

Financial Services

Description

Company Chase & Co. (NYSE: JPM) is a leading global financial services firm with operations worldwide. The firm is a leader in investment banking, financial services for consumers and small business, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, Company Chase & Co. serves millions of consumers in the United States and many of the world's most prominent corporate, institutional and government clients under its Company and Chase brands. Information about Company Chase & Co. is available at Company website. Chase Consumer & Community Banking (CCB) serves consumers and small businesses with a broad range of financial services. CCB Risk Management partners with each CCB sub-line of business to identify, assess, prioritize, and remediate risk. We are currently seeking applications for Applied AI ML Senior Associate. In this critical role you will be managing vendor models used in CCB fraud risk space and a team based out of multiple locations. This includes understanding business requirement of new vendor models, usages, benefits, sourcing relevant materials from vendor, product, model users for model document submission for model risk governance review (MRGR) and Compliance review. The team needs to take care of all governance related activities like ongoing performance monitoring, contingency plans, annual assessment of models, re-reviews, annual model upgrades, addressing model risk issues (MRIs), action plans on time, etc. The candidate should have a strong understanding of model governance process with respect to MRGR and Fair Lending reviews, knowledge about fraud space and exposure to multiple stakeholders’ management. Job responsibilities: Collaborate with risk strategy and product teams to understand business needs and potential model impact of using vendor models Collaborate with various partners in Risk Strategy, Product, Vendors, Model Governance, Compliance, Risk, Legal, etc. Manage model risk and related governance and controls Synthesize the findings at various points through the model onboarding and management process to share actionable insights with senior leadership and other stakeholders Lead discussions on providing comprehensive rationale for model selection and set strategic direction for model review and usage efforts. Establish and oversee comprehensive monitoring strategies, ensuring continuous performance monitoring and alignment with strategic objectives. Anticipate risks associated with vendor models and drive strategic risk management initiatives, ensuring proactive and comprehensive risk mitigation. Required qualifications, capabilities, and skills: Ph.D. or MS degree in Mathematics, Statistics, Computer Science, Operational Research, Econometrics, Physics, or other related quantitative fields Minimal 5+year of experience in developing and managing predictive risk models in financial institutions Polished and clear communications with senior management 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.

Responsibilities

This role involves managing vendor models used in Consumer & Community Banking fraud risk, including understanding business requirements, sourcing documentation, and overseeing governance activities like performance monitoring and annual assessments. The associate will collaborate with various internal teams and external vendors to manage model risk and present findings to senior leadership.