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Sr Quantitative Financial Analyst

1 month ago

Charlotte, United States Bank of America Full time

Sr Quantitative Financial Analyst page is loaded Sr Quantitative Financial Analyst Apply locations Charlotte Atlanta Pennington time type Full time posted on Posted Yesterday job requisition id 24014400 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: This job is 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 Minimum Education Requirement: Null At Bank of America, models are used for a broad range of activities, including but not limited to valuation, risk management, capital and liquidity planning, stress testing, underwriting and other strategic or day-to-day decision-making purposes. Bank of America recognizes the risk and uncertainty associated with the use of its models and the need to effectively manage this risk both at an individual level and in the aggregate. Enterprise Model Risk Management (MRM) Team provides oversight for model risk across Bank of America's model inventory. The MRM Team independently validates and challenges newly developed and existing models; is responsible for model risk assessments, limits and monitoring; communicates issues identified through validations to relevant businesses and governance and control functions; and escalates model use breaches and remediation plans to relevant governance committees. Qualified candidate will join MRM Consumer Banking team as a senior quantitative finance analyst to conduct independent testing and review of complex consumer predictive models owned by Retail, Preferred Banking and Small Business. • For models in Consumer Banking supporting front line unit business strategies and credit risk management, review, critical assessment, and challenge of models on conceptual soundness, assumptions and limitations, data, developmental evidence in support of modelling choices, performance, and implementation. • Development and execution of effective independent testing plans to critically challenge models through empirical analyses and alternative approaches. • Review and critical assessment of ongoing model monitoring activities to proactively identify, evaluate, and mitigate emerging model risk themes. • Writing of technical reports for distribution and presentation to model developers, model stakeholders, senior management, audit, and banking regulators • Coaching of junior staff members while leading validation projects • PhD or Master's degree in quantitative fields such as Statistics, Economics, Mathematics, Finance, Engineering, Computer Science, or equivalent. • Background and experience with complex, loan-level predictive models and familiarity with consumer retail products such as home loans. • Expertise in cross-sectional and time-series econometrics, analyzing large datasets using mathematical models, and statistical techniques such as Least Squares Regression, Logistics Regression, Hedonic Regressions, etc. • Experience developing or validating models that rely on artificial intelligence and machine learning techniques. • Deep understanding and knowledge of model performance measures • Strong knowledge of financial instruments and financial risk management principles, and familiarity with applicable regulatory guidance on model risk management • Strong coding ability in Python or R, knowledge of LaTex document preparation and Git Bitbucket is a plus • Minimum of 5 years of experience with a PhD or 8 years of experience with a Master’s degree in financial risk modelling or validation Shift: 1st shift (United States of America) Hours Per Week: 40 Similar Jobs (9) Sr. Quantitative Finance Analyst - Consumer Loss Forecasting Analytics locations 4 Locations time type Full time posted on Posted 30+ Days Ago Senior Quantitative Finance Analyst, AML Model Development locations 4 Locations time type Full time posted on Posted 24 Days Ago Sr. Quant Fin. Analyst-Wholesale Credit Risk locations 3 Locations time type Full time posted on Posted 22 Days Ago 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. #J-18808-Ljbffr