Quantitative Finance Analyst

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

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