{"id":2529075,"url":"https://alion.io/job/ghr-vp-quantitative-finance-analyst","title":"VP; Quantitative Finance Analyst","company":{"id":4005,"name":"Bank of America","domain":"ghr.com","url":"https://alion.io/company/ghr","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":45,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":9,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Finance","role_family":"Finance","seniority":"head","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chicago, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":155000,"max":165000,"currency":"USD","period":"year","gross":null,"usd_annual":165000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Hadoop","optional":false},{"name":"Python","optional":false},{"name":"SAS","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Trino","optional":false}],"status":"live","first_seen_at":"2026-10-13T00:00:00Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-23T11:03:05Z","board_verified":true,"closed_at":null,"days_open":10,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":10},"description":"Job Description:\nAt Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits. We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve. Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!\nResponsibilities\nProvide analytical support on various product strategies to ensure company goals are met.\nCoordinate the production of performance reports for Senior management.\nReview and analyze trends in current population distributions and recommends strategies.\nParticipate in or develop more complex program models to extract data and use databases to provide statistical and financial modelling.\nAnalyze portfolio trends, concerning credit score cutoffs, loss trends, portfolio dynamics, and bureau scoring criteria.\nParticipate in the rollout of company-wide pilot programs developed as a result of programmed models.\nDesign and implement analytical tools to produce key elements for discussion procurements on residential mortgage portfolio with stakeholders and Senior Manager leads.\nParticipate in advanced business analytics in risk management of residential mortgage portfolio, communicating results and educating others through reports and presentations.\nDrive explanatory data analyses, generating and testing working hypotheses, preparing and analyzing historical data and identify patterns using Hadoop, Spark and Trino.\nRemote work may be permitted within a commutable distance from the worksite.\nRequired Skills & Experience\nMaster's degree or equivalent in Economics, Statistics, Business Administration, or a related field: and\n3 years of experience in the job offered or a related Quantitative occupation.\nMust include 3 years of experience in each of the following:\nAnalyzing and assessing large, complex financial dataset with programming tools including Python, SAS, SQL and R;\nDeveloping and analyzing statistical models including linear regression, auto regression, or logistic regression to assess model diagnostic and model performance;\nUsing big data technologies of SQL to handle large volumes of data produced by complex financial forecasting models;\nEvaluating quantitative modeling and analytics projects in risk analytics and loss forecasting leveraging tools of R, Python, and C++; and,\nGenerating statistical analysis to support stress testing, credit risk management, regulatory examinations.\nIf interested apply online at www.bankofamerica.com/careers or email your resume to  and reference the job title of the role and requisition number.\nEMPLOYER: Bank of America N.A.\nShift:\n1st shift (United States of America)Hours Per Week:\n40Pay Transparency details\nUS - IL - Chicago - 540 W Madison St - Bank Of America Plaza (IL4540)Pay and benefits informationPay range$155,000.00 - $165,000.00 annualized salary, offers to be determined based on experience, education and skill set.Discretionary incentive eligibleThis 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.BenefitsThis role is currently benefits eligible. 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