
Job Description:
Job Description:
Bank of America is seeking a Quantitative Finance Analyst to join the Consumer Operations team within Global Risk Analytics (GRA). GRA is a centralized Quantitative and Analytical team focused on enabling effective Risk and Capital management across the enterprise.
Responsibilities to include, but not limited to, the following:
Conduct quarterly/monthly production execution of one or more models in consumer operations for CCAR and ALLL loss forecasting.
Perform and execute business controls during forecasting cycles and monitor and remediate incoming data.
Maintain and develop any new code/processes necessary to support data sourcing, model execution, or model output reporting for model production
Supports development and production of GRA Data Quality Controls dashboards, management reports, and ad hoc reporting
Seek continuous process improvement, efficiency, and automation
Respond to requests and ad hoc queries from business partners in timely fashion
Work independently on projects with strict deadlines and ability to manage multiple tasks/projects
Projects in consumer operations typically relate to:
Working with business partners to support data needs for new model development
New model implementation and testing
Adoption of target state initiatives related to data and model execution
Interface with a wide audience including peers, senior management, Model Risk Management, model developers, model implementation group, Forecast Administrators, Risk Technology, project managers, and colleagues within the Lines of Business (LoB)
Required Skills & Experience
Master's degree in a quantitative or other relatable field
3-5 years of quantitative experience
Must have Intermediate to advanced experience with Teradata SQL,
4+ year experience with Python (object oriented programming preferred) in a work environment (not academic)
Additional experience to include: Hadoop HDFS, Vertica, Hive, Impala, Spark in a work environment (not academic)
3-5 years of experience querying, analyzing and manipulating large database tables (databases with billions of rows of data) in a work environment (not academic)
Advanced proficiency with Excel, PowerPoint, and Word
Strong attitude for independent critical thinking
Very hands-on and detail oriented, “can-do” attitude
Analytical ability and problem-solving skills
Ability to liaison with internal team members and other stakeholders in order to drive results and achieve goals
Excellent written and oral communication skills
Desired Skills & Experience
Experience in a quantitative environment within financial services is preferred
Experience in credit card or auto loan products from a loss forecasting perspective
Familiarity with CCAR, ALLL, CECL
Mathematical/Statistical skills
Unix/Linux
Job Band:
H5Shift:
1st shift (United States of America)Hours Per Week:
40Weekly Schedule:
Referral Bonus Amount:
0Job Description:
Job Description:
Bank of America is seeking a Quantitative Finance Analyst to join the Consumer Operations team within Global Risk Analytics (GRA). GRA is a centralized Quantitative and Analytical team focused on enabling effective Risk and Capital management across the enterprise.
Responsibilities to include, but not limited to, the following:
Conduct quarterly/monthly production execution of one or more models in consumer operations for CCAR and ALLL loss forecasting.
Perform and execute business controls during forecasting cycles and monitor and remediate incoming data.
Maintain and develop any new code/processes necessary to support data sourcing, model execution, or model output reporting for model production
Supports development and production of GRA Data Quality Controls dashboards, management reports, and ad hoc reporting
Seek continuous process improvement, efficiency, and automation
Respond to requests and ad hoc queries from business partners in timely fashion
Work independently on projects with strict deadlines and ability to manage multiple tasks/projects
Projects in consumer operations typically relate to:
Working with business partners to support data needs for new model development
New model implementation and testing
Adoption of target state initiatives related to data and model execution
Interface with a wide audience including peers, senior management, Model Risk Management, model developers, model implementation group, Forecast Administrators, Risk Technology, project managers, and colleagues within the Lines of Business (LoB)
Required Skills & Experience
Master's degree in a quantitative or other relatable field
3-5 years of quantitative experience
Must have Intermediate to advanced experience with Teradata SQL,
4+ year experience with Python (object oriented programming preferred) in a work environment (not academic)
Additional experience to include: Hadoop HDFS, Vertica, Hive, Impala, Spark in a work environment (not academic)
3-5 years of experience querying, analyzing and manipulating large database tables (databases with billions of rows of data) in a work environment (not academic)
Advanced proficiency with Excel, PowerPoint, and Word
Strong attitude for independent critical thinking
Very hands-on and detail oriented, “can-do” attitude
Analytical ability and problem-solving skills
Ability to liaison with internal team members and other stakeholders in order to drive results and achieve goals
Excellent written and oral communication skills
Desired Skills & Experience
Experience in a quantitative environment within financial services is preferred
Experience in credit card or auto loan products from a loss forecasting perspective
Familiarity with CCAR, ALLL, CECL
Mathematical/Statistical skills
Unix/Linux
Shift:
1st shift (United States of America)Hours Per Week:
40Learn more about this role