DescriptionJoin us to advance your analytics career by shaping innovative ML/AI solutions that drive impact across Chase.
As a Quant Analytics Senior Associate in the MLIO Analytics team you will optimize Conversational Insights and Coaching products to enhance specialist and customer experiences. You will collaborate with cross-functional teams to deliver actionable analytics and drive business value through advanced data solutions.
Job responsibilities
- Conduct end-to-end data analysis to improve LLM and GenAI model performance across AWS and on-premises environments
- Transform complex datasets automate reporting and perform business driver analysis to enhance operational processes
- Identify customer and specialist friction points using advanced analytics across multiple interaction channels
- Integrate business assumptions with production data validate hypotheses and identify production flaws
- Present clear actionable insights to peers executive leadership and business partners
- Investigate and resolve issues in data collection model development and production phases
- Develop SQL and Python codebases and document data dictionaries and model outputs
Required qualifications capabilities and skills
- Bachelors/Masters degree in Economics Data Analytics Statistics or STEM and six years of analytics experience
- Solid programming skills in SQL with strong writing and presentation abilities
- Detail-oriented problem solver with a track record of meeting tight deadlines
- Collaborative team player with curiosity and ability to operate independently
- Hands-on experience with Excel PivotTables PowerPoint Tableau Alteryx and Python Jupyter Notebook
- Training in multivariate statistics regression analysis Python SQL and visualization tools including Tableau
- Professional experience with AWS Spark/EMR ChatGPT Confluence and Snowflake
Preferred qualifications capabilities and skills
- Extensive experience in consumer banking operations servicing collections or marketing
- Strong understanding of multi-linear regression logistic regression clustering classification techniques including LightGBM and XGBoost controlled experiments and causal inference methods
- Experience with Machine Learning Natural Language Processing and Large Language Models
- Proficient in big data ETL processes for structured and unstructured databases
- Experience preferably in financial services or operations/contact center functions
Required Experience:
Senior IC
DescriptionJoin us to advance your analytics career by shaping innovative ML/AI solutions that drive impact across Chase.As a Quant Analytics Senior Associate in the MLIO Analytics team you will optimize Conversational Insights and Coaching products to enhance specialist and customer experiences. Yo...
DescriptionJoin us to advance your analytics career by shaping innovative ML/AI solutions that drive impact across Chase.
As a Quant Analytics Senior Associate in the MLIO Analytics team you will optimize Conversational Insights and Coaching products to enhance specialist and customer experiences. You will collaborate with cross-functional teams to deliver actionable analytics and drive business value through advanced data solutions.
Job responsibilities
- Conduct end-to-end data analysis to improve LLM and GenAI model performance across AWS and on-premises environments
- Transform complex datasets automate reporting and perform business driver analysis to enhance operational processes
- Identify customer and specialist friction points using advanced analytics across multiple interaction channels
- Integrate business assumptions with production data validate hypotheses and identify production flaws
- Present clear actionable insights to peers executive leadership and business partners
- Investigate and resolve issues in data collection model development and production phases
- Develop SQL and Python codebases and document data dictionaries and model outputs
Required qualifications capabilities and skills
- Bachelors/Masters degree in Economics Data Analytics Statistics or STEM and six years of analytics experience
- Solid programming skills in SQL with strong writing and presentation abilities
- Detail-oriented problem solver with a track record of meeting tight deadlines
- Collaborative team player with curiosity and ability to operate independently
- Hands-on experience with Excel PivotTables PowerPoint Tableau Alteryx and Python Jupyter Notebook
- Training in multivariate statistics regression analysis Python SQL and visualization tools including Tableau
- Professional experience with AWS Spark/EMR ChatGPT Confluence and Snowflake
Preferred qualifications capabilities and skills
- Extensive experience in consumer banking operations servicing collections or marketing
- Strong understanding of multi-linear regression logistic regression clustering classification techniques including LightGBM and XGBoost controlled experiments and causal inference methods
- Experience with Machine Learning Natural Language Processing and Large Language Models
- Proficient in big data ETL processes for structured and unstructured databases
- Experience preferably in financial services or operations/contact center functions
Required Experience:
Senior IC
View more
View less