What are the responsibilities and job description for the Lead Data Scientist - Finance Technology position at JPMorgan Chase?
Join JPMorgan Chase & Co., a leader in financial services, and be part of our innovative Finance Technology team. We offer opportunities for career growth and the chance to work on cutting-edge AI/ML solutions that transform finance processes. Embrace the opportunity to make a significant impact in a dynamic and inclusive environment.
As a Senior Data Scientist in Finance Technology, you will be part of a team that builds AI/ML solutions to enhance finance processes. You will work within our Corporate Functions, collaborating with diverse teams to drive success for our clients and employees. Your role will involve developing models that solve complex business challenges and contribute to our firm's leadership in financial services.
Collaborate with a global team of data scientists and engineers to implement machine learning solutions. You will engage with business users to identify opportunities and work on ML Ops aspects with technology partners. Your expertise will help shape the future of finance technology at JPMorgan Chase & Co.
Job Responsibilities:
- Build and train production-grade ML models on large-scale datasets to solve business use cases.
- Use large-scale data processing frameworks to manipulate and extract value from structured and unstructured data.
- Apply Deep Learning models like NLP, LLM, and Gen AI for summarization, forecasting, and anomaly detection.
- Conduct data modeling experiments, evaluate against baselines, and extract key statistical insights.
- Create data models using best practices to ensure high data quality and reduced redundancy.
- Stay current on industry trends and adopt the latest methodologies into existing implementations.
- Present and market proposed solutions to senior business and technology colleagues.
- Collaborate with business users to identify and execute machine learning opportunities.
- Work closely with the team and other technology partners on ML Ops aspects.
- Manage a global team of data scientists and data engineers.
Required Qualifications, Capabilities, and Skills:
- Bachelor’s Degree or equivalent experience in Computer Science or Data Science.
- 12 years of experience as a data scientist.
- Proficiency in machine learning techniques and advanced analytics (e.g., regression, classification, clustering).
- Experience with LLM and Gen AI.
- Proficiency in ML languages such as Python, SQL, Scala.
- Experience with statistical techniques like data mining and data visualization.
- Outstanding written/verbal communication and presentation skills.
- Ability to structure problems and work comfortably with ambiguity.
- Team management and collaboration skills.
Preferred Qualifications, Capabilities, and Skills:
- Familiarity with Financial Services.
- Experience building ML models in a cloud environment.
- Experience with Big Data Platforms such as Hadoop
***Relocation assistance is not available for this opportunity.
