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Quantitative Risk 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 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:

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 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: 

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

Jersey City pay and benefits information

Jersey City pay range:

$80,000 - $130,000 annualized salary, offers to be determined based on experience, education and skill set.

Discretionary incentive eligible

This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.

Benefits

This role is currently benefits eligible. We provide industry-leading benefits, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.