Applied Machine Learning / AI Senior Associate

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Applied Machine Learning / AI Senior Associate

JPMorganChase

• USD 130K-160K
• Full Time
• Jersey City, NJ
• On-site

Job Description At JPMorgan, we are not looking for job seekers. We seek change makers who want to make an impact.

As an AI ML Sr. Associate within our dynamic team, you will be responsible for promoting long-term profitable growth by leveraging your strong business acumen. You will also collaborate effectively within a team environment and communicate results to senior management in a clear and concise manner. The CCB Risk Fraud Modeling team is responsible for developing and implementing best-in-class fraud prevention and authentication models. The team provides diverse models and analytical tools used to improve customer authentication experience and detect potentially fraudulent transactions across different lines of business.

**Job Responsibilities-**

• Build machine learning models that assess authentication confidence and predict fraudulent events risk.
• Participate and provide support throughout full cycle of the modeling projects, including data exploration, model development, quality control, and performance monitoring and model review.
• Maintain partnership with business stakeholders. Collaborate to identify opportunities, collect business needs into model development and communicate model results to business users.
• Conduct data science from big data and provide guidance to business on leveraging the modeling solutions.
• Collaborate with IT teams to streamline, improve and deploy production models in cloud platforms and support firmwide technology enhancements.
• Ensure models follow regulatory requirements and firm wide risk/control policies.
• Work with colleagues with various backgrounds to maintain a productive and inclusive community.

**Required Qualifications, Capabilities And Skills -**

• Master or PhD degree in Statistics, Engineering, Computer Science, Mathematics, Physics, or other related quantitative fields of study.
• Skills with analytical thinking and problem solving that demonstrate candidates able to understand the business contexts, form hypothesis with potential approaches leading to solutions, search for data, and build up a model to ingest data to solutions.
• Experience on model development with statistical analysis and machine learning techniques such as Regressions, decision trees, Gradient Boosting, and Neural Networks. Depth knowledge.
• Experience on model development systems such as AWS Cloud, Sagemaker, Apache Spark, Snowflake.
• Skills with programming languages such as SQL, Python and PySpark
• Communication skills that explain ML/AI model details to audience with various backgrounds.

**Preferred Qualifications, Capabilities And Skills -**

• Experience on sophisticated ML/AI methods like Deep Learning, NLP, LLM, Graph are further preferred.
• Experience with Graph database and Graph modeling are further preferred.

About Us Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, discretionary incentive compensation which may be awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

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 ori…