Were searching for a highly skilled and experienced senior engineer and Python expert to lead the design and development of the various AI-related technologies as part of Services Tech AI team. The ideal candidate has an excellent
Job Summary The Sr. Data Scientist is responsible for establishing and implementing new or revised data science and machine learning application systems in coordination with the Technology team. The overall objective of this role is to
DESCRIPTION: Duties: Drive validation of forecasting models for consumer lending portfolio including Comprehensive Capital Analysis and Review (CCAR) and Current Expected Credit Loss (CECL) models. Drive validation of all models used in consumer lending portfolio such
At Wells Fargo, we want to satisfy our customers’ financial needs and help them succeed financially. We’re looking for talented people who will put our customers at the center of everything we do. Help us build
Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way
Job Title Collaborating with IT teams to ensure seamless integration of data from various sources and systems. Ensuring compliance in data management and analysis processes. Suggesting innovative approaches for data analysis and reporting based on emerging
Equity Quantitative Investment Analyst / VP J.P. Morgan Chase & Co. is a leading global financial services firm with assets of more than $2 trillion, over 265,000 employees and operations in over 60 countries. It operates
Financial Business Analyst We are currently seeking a Financial Business Analyst to be based out of our Secaucus, NJ office. The Financial Business Analyst will serve a critical role in analyzing data and making recommendation to
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III - AI/ML Engineer at JPMorganChase within the AI For Technology group, you
Transform data into business insights and drive innovation in the Payments Digital product business, enhancing customer experiences and shaping the future of financial services. As an Analytics Solutions Manager on the Digital & Design Domain Services
Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way
DESCRIPTION: Duties: Programmatically source and aggregate risk data to assess the materiality and impact of data quality issues for time series. Develop and maintain advanced models, methodologies and infrastructure to detect anomalies in time series data,
Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way
DESCRIPTION: Duties: Drive validation of forecasting models for consumer lending portfolio including Comprehensive Capital Analysis and Review (CCAR) and Current Expected Credit Loss (CECL) models. Drive validation of all models used in consumer lending portfolio such
DESCRIPTION: Duties: Lead the design, implementation, and validation of data pipelines, reporting solutions, and portfolio optimization processes to enhance systematic portfolio management. Drive cross-functional collaboration between business and technology stakeholders, define requirements, set priorities, and ensure
DESCRIPTION: Duties: Conduct independent testing and develop benchmark models to serve as reference points for model performance. Mentor and train junior team members, sharing best practices and supporting their professional development. Evaluate risk associated with advanced
DESCRIPTION: Duties: Perform statistical data analysis to ensure accuracy of the time series data used in firmwide Value at Risk (VaR) calculation for Market Risk management. Analyze Average Daily Trading Volume (ADTV) data for data quality