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Sr Quantitative Financial Analyst-NR

4 months ago

Charlotte, United States Bank of America Full time

Sr Quantitative Financial Analyst-NR page is loaded

Sr Quantitative Financial Analyst-NR

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locations

Charlotte

Atlanta

Chicago

time type

Full time

posted on

Posted 2 Days Ago

job requisition id

24010263

Job Description: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us Job Description: The Wholesale Risk Analytics Model Development team creates best in class model to forecast losses on BAC’s loan book. Model Development team members possess the skills needed to understand and evaluate data. They develop next-generational quantitative tools and analysis to support our growing internal and external demands. As such, they can produce professional research, transition conceptual frameworks into programming logic and communicate complex topics to a wide range of audiences. A variety of quantitative and qualitative skills are required for these tasks. Models are developed utilizing multiple tools including Python, SQL, SAS, Hadoop and others. Typical techniques include Simulation, Cross-Section analysis, Stochastic analysis and Time-Series Analysis.

Critical Models include: CALBR (501678) - Forecasts scenario-dependent net charge-offs (NCO), asset quality (AQ) distributions, and point-in-time transition matrices for most of Bank of America's (BAC) reservable Commercial and Industrial (C&I) loan book and non-income producing Commercial Real Estate (CRE) exposures to satisfy the requirements of four key model uses - CCAR, CECL, IFRS9 and ECB/EBA ICAAP. New Climate models (CALBR Climate – 606044 and CRELL Climate 606045) to address risks associated with Transition and Physical climate related impacts.

This job is also responsible for conducting quantitative analytics and complex modeling projects for specific business units or risk types. Key responsibilities include leading the development of new models, analytic processes, or system approaches, creating technical documentation for related activities, and working with Technology staff in the design of systems to run models developed. Job expectations may include the ability to influence strategic direction, as well as develop tactical plans. Responsibilities: Performs end-to-end market risk stress testing including scenario design, scenario implementation, results consolidation, internal and external reporting, and analyzes stress scenario results to better understand key drivers. Leads the planning related to setting quantitative work priorities in line with the bank’s overall strategy and prioritization. Identifies continuous improvements through reviews of approval decisions on relevant model development or model validation tasks, critical feedback on technical documentation, and effective challenges on model

development/validation. Maintains and provides oversight of model development and model risk management in respective focus areas to support business requirements and the enterprise's risk appetite. Leads and provides methodological, analytical, and technical guidance to effectively challenge and influence the strategic direction and tactical approaches of

development/validation

projects and identify areas of potential risk. Works closely with model stakeholders and senior management with regard to communication of submission and validation outcomes. Performs statistical analysis on large datasets and interprets results using both qualitative and quantitative approaches. Skills: Critical Thinking Quantitative Development Risk Analytics Risk Modeling Technical Documentation Adaptability Collaboration Problem Solving Risk Management Test Engineering Data Modeling Data and Trend Analysis Process Performance Measurement Research Written Communications Qualifications: • Advanced (i.e. Masters or PhD) degree in Math, Economics, Statistics, Engineering, Finance, Computer Science or similar discipline • 5+ years professional experience developing credit risk models • Strong Programming skills e.g. R, Python, SAS, SQL or other languages • Strong analytical and problem-solving skills • Experience with LaTeX • Experience using and developing cross-sectional models • Effectively creates a compelling story using data; Able to make recommendations and articulate conclusions supported by data • Effectively presents findings, data, and conclusions to influence senior leaders • Demonstrated leadership skills; Ability to exert broad influence among peers • Ability to work in a large, complex organization, and influence various stakeholders and partners • Ability to work in a highly controlled and audited environment

Desired Qualifications: • Experience with complex data architecture, including modeling and data science tools and libraries, data warehouses, and machine learning • Experience implementing models into various production environments • Ability to extract, analyze, and merge data from disparate systems, and perform deep analysis • Experience developing and maintaining complex databases and data sets • Experience using data mining and other advanced analytical techniques to aggregate data for model development and/or to produce management reporting • Experience managing large data sets utilizing tools such as Hadoop • Experience designing, developing, and applying scalable Machine Learning and Artificial Intelligence solutions • Experience with data analytics and visualization tools (e.g., Alteryx, Tableau, MicroStrategy) • Experience building data architecture that is optimized for large dataset retrieval, analysis, storage, cleansing, and transformation • Demonstrated ability to drive action and sustain momentum to achieve results • Identifies, assigns, and manages project tasks and timelines across teams • Experience with engineering complex, multifaceted processes that span across teams; Able to document process steps, inputs, outputs, requirements, identify gaps and improve workflow Shift: 1st shift (United States of America)

Hours Per Week: 40

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Posted Today Bank of America is committed to help employees through the transition period when they’re displaced as a result of a workforce reduction, realignment or similar measure.

Please review the resume writing and interviewing tips provided below to help prepare you for your next career opportunity. Regardless of the position you are interested in, the starting points to building your resume are the same: 1. Determine the job or types of jobs you want to do and research their responsibilities and qualifications. 2. Think about why you can do the job and make a list of your skills that are relative to the job. 3. Identify experiences or accomplishments that show your proficiency in the skills required for the job. 4. Summarize your abilities, accomplishments and skills into a brief, concise document.

Considerations when writing a resume • Do be brief. Resumes should be 1-2 pages in length. • Do be upbeat and active in your wording. • Do emphasize what you have done clearly and concretely. • Do be neat and well organized. • Do have others proofread and critique your resume. Spell check. Make it error free. • Do use high quality, white or light colored 8½ x 11 paper. Use a laser printer if possible. • Don't be dishonest, always tell the truth about yourself in the most flattering light. • Don't include salary history or requirements. • Don't include references. • Don't include accomplishments that do not support your professional goals. •

Don't include anything that isn't relevant. (For example, don't mention your fondness for swimming unless you want to work on the water.) • Don't use italics, underlining, shadows or other fancy treatments. Seven steps to a successful interview 1. Anticipate –Put yourself in the interviewer's position. What do you believe the interviewer is most interested in? Why do you think you have been invited to interview? 2. Research –What are the primary functions of the line of business? What are the success factors for the job? Is there a job description available? 3. Assess –Think about your skills, abilities, knowledge, interests, traits, values and accomplishments. Match them to what you know about the job. Consider which ones you should highlight. 4. Prepare Answers –Think about what the interviewer may ask, determine what the best answer is and write it down. 5. Prepare Questions – Interviewing is a two-way street. By asking thoughtful questions, you communicate your interest and learn a lot about the job. Choose two or three questions to ask your interviewer. Avoid asking a lot of questions about vacation time or breaks. 6. Practice – It may seem awkward, but it is the best way to come across well in an interview. Practice your own "great responses" with others or in front of a mirror until you appear relaxed and at ease. 7. Follow-up – Send a brief follow-up letter to the interviewer. Keep in mind that the many job searchers will not send a follow-up letter. Sending one can become a competitive advantage.

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