CCB Risk – Applied AI Machine Learning Fraud Modeling – Executive Director Job Vacancy in JPMorgan Chase Bank, N.A. Mumbai, Maharashtra – Updated today

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Full Details :
Company Name : JPMorgan Chase Bank, N.A.
Location : Mumbai, Maharashtra
Position :

Job Description : We are currently seeking an Applied ML-AI Executive Director as the Head of Consumer Banking Fraud Risk Modeling team. In this critical role you will be managing a team of 15 applied machine learning modelers in multiple working locations who are responsible for developing and maintaining best-in-class fraud prevention models. You will be responsible for identifying business opportunities for applying suitable machine learning algorithms to develop predictive models that enhance the effectiveness of fraud and operation loss control. Your expertise and thought leadership in big data platforms (Hadoop/Cloud) and machine learning techniques will substantially influence the direction of the next generation of risk models.
In this highly visible role, the successful candidate will demonstrate analytic leadership through business acumen, collaboration, and effective communication skills with senior management. Success in this role requires a strong foundation in predictive modeling and machine learning, along with deep understanding of transaction data and fraud risk management. The candidate should have a proven ability to manage end-end ML/AI solutions, especially deploy real-time ML models harnessing vast amounts of data and computation into distributed systems.
Your key responsibilities include:

Collaborate with risk strategy teams and operations to understand business needs, data generating process, system capability, and potential model impact.
Design machine learning solutions to address business needs, including explainable machine learning models or reinforcement learning models
Manage multiple model development projects
Collaborate with various partners in Marketing, Finance, Technology, Model Governance, Compliance, Risk, Legal, etc. throughout the entire modeling lifecycle.
Manage model risk and related governance and controls
Synthesize the findings at various points through the model development process to share actionable insights with senior leadership and other stakeholders
Drive constant innovations to combat novel frauds

Qualifications

Ph.D. or MS degree in Mathematics, Statistics, Computer Science, Operational Research, Econometrics, Physics, or other related quantitative fields
Minimal 10-year of experience in developing and managing fraud or credit risk predictive models in financial industry
Hand-on experience in developing and deploying real-time transaction models with massive data
Experience in developing commercial applications for machine learning that are interpretable
Experience in developing ML/AI models in big data platform (Hadoop and Cloud) and deploying them into real-time scoring engines, such as mainframe, cloud or distributed computing systems
Experience in open source programming languages for large scale data analysis such as Python / Scala / Java / PySpark
Experience with supervised and unsupervised machine learning algorithms such as XGBoost, CNN, RNN, SVM, Reinforcement Learning, Markov Process
Minimal 2-year experience managing a sizable team (>12 people) of data scientists or machine learning modelers
Experience in managing a team in a dynamic environment of high mobility
Polished and clear communications with senior management
Proven leadership in client/stakeholder/partner relationship management and high-performance team development
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. In accordance with applicable law, we make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as any mental health or physical disability needs.

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