Sr Quantitative Finance Analyst & Python Developer

Company: Bank of America
Location: Atlanta, Georgia, United States
Type: Full-time
Posted: 26.JUL.2021


Job Description:Bank of America is seeking an associate to join the Consumer Operations team within Global Risk Analytics (GRA). GRA is a ce...


Job Description:Bank of America is seeking an associate 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 enterpriseResponsibilities 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 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 field preferred or other relatable degree• 5+ years of quantitative finance experience• Must have Intermediate to advanced experience with SAS, Teradata SQL, Unix/Linux, Shell Scripting, and relational databases• Additional experience to include: SAS Grid & batch, SAS SPDS, Hadoop HDFS, Vertica, Hive, Impala, Spark, Pyspark, Python and Pycharm• 3-5 years of experience querying, analyzing and manipulating large database tables (databases with billions of rows of data)• 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• Advanced proficiency with Excel, PowerPoint, and WordDesired 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 skillsEnterprise role overviewResponsible for independently conducting quantitative analytics and complex modeling projects. Leads efforts in development of new models, analytic processes or system approaches. Creates documentation for all activities and may work with technology staff in design of any system to run models developed. Incumbents possess excellent quantitative/analytic skills and are able to influence strategic direction, as well as develop tactical plans.Job Band:H4Shift:1st shift (United States of America)Hours Per Week:40Weekly Schedule:Referral Bonus Amount:0 >

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