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Quantitative Finance Analyst

Charlotte, North Carolina;

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 finance experience

  • Must have Intermediate to advanced experience with Teradata SQL, Unix/Linux, Shell Scripting, relational databases (not academic)

  • 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

Job Band:

H5

Shift: 

1st shift (United States of America)

Hours Per Week:

40

Weekly Schedule:

Referral Bonus Amount:

0

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 finance experience

  • Must have Intermediate to advanced experience with Teradata SQL, Unix/Linux, Shell Scripting, relational databases (not academic)

  • 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

Shift:

1st shift (United States of America)

Hours Per Week: 

40

Learn more about this role

Full time

JR-21078764

Band: H5

Manages People: No

Travel: No

Manager:

Talent Acquisition Contact:

Pamela Salvato

Referral Bonus:

0