Applied AI/ML Associate Senior - Causal ML

Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team. Our team focuses on applying GenAI, ML and statistical models to solve business problems in the Global Wealth Management space.

As an Applied AI/ML Senior Associate within our dynamic team in Asset and wealth Management , you will apply your quantitative, data science, and analytical skills to complex problems. We are seeking a Data Scientist with strong foundations in causal inference, machine learning, statistical modeling, and applied experimentation to help build next-generation decision systems across pricing, campaign targeting, and related business use cases. This role is ideal for someone who can move beyond prediction and help the organization understand cause-and-effect relationships in real-world, observational settings. 

Job responsibilities

• Engage with stakeholders and understanding business requirements 
• Develop AI/ML solutions to address impactful business needs 
• Work with other team members to productionize end-to-end AI/ML solutions 
• Engage in research and development of innovative relevant solutions 
• Document developed AI/ML models to stakeholders 
• Coach other AI/ML team members towards both personal and professional success 
• Collaborate with other teams across the firm to attain the mission and vision of the team and the firm 
 

Required qualifications, capabilities, and skills

Preferred qualifications, capabilities, and skills

• Industry experience applying causal machine learning to pricing, marketing, campaign targeting, personalization, or customer analytics.

• Experience with temporal causality, longitudinal data, panel data, or dynamic treatment effects.

• Experience with time series forecasting or combining causal inference with time-dependent modeling.

• Familiarity with experimentation, A/B testing, quasi-experimental design, or synthetic control methods.

• Experience with modern causal ML methods such as meta-learners, uplift models, causal forests, or double machine learning.

• Financial service background .PhD/Masters  

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.