{"id":3651569,"url":"https://alion.io/job/fannie-mae-lead-quantitative-modeler-prepayment-models","title":"Lead Quantitative Modeler - Prepayment Models","company":{"id":1757751,"name":"Fannie Mae","domain":"fanniemae.com","url":"https://alion.io/company/fanniemae","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Washington, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":141000,"max":184000,"currency":"USD","period":"year","gross":null,"usd_annual":184000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"SAS","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Time Series","optional":false}],"status":"live","first_seen_at":"2026-11-02T00:00:00Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-06T01:32:10Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance. Here, your expertise can help fuel purpose-driven innovation that expands access to homeownership and affordable rental housing across the country. Join Fannie Mae to grow your career and help people find a place to call home.\nJob Description\nAs a valued colleague on our team, you will act as team lead while conducting theoretical and empirical research with public and proprietary data in all areas of the mortgage finance business. This may include mortgage products and securities, borrower behavior, investment and hedging strategies, residential property valuation, macroeconomic models, including housing prices and interest rate, financial valuation of finance assets and derivatives, economic capital, and stress testing. Additionally, you will coach and mentor team members. You will be responsible for leveraging expertise in economics, statistics (with a focus on time-series modeling), and advanced machine learning to develop predictive models, optimize risk management strategies, and drive actionable insights. You will also act as team lead while conducting theoretical and empirical research with public and proprietary data in all areas of the mortgage finance business. This may include mortgage products and securities, borrower behavior, investment and hedging strategies, residential property valuation, macroeconomic models, including housing prices and interest rate, financial valuation of finance assets and derivatives, economic capital, and stress testing.\nTHE IMPACT YOU WILL MAKE\nThe Lead Quantitative Modeler - Prepayment Models role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:\nLead teams in providing innovative, thorough, and practical solutions that support business strategies and initiatives and in conducting or assessing ad hoc quantitative analyses, modeling, or programming using Python, SQL, R, or SAS.\nCoach and mentor team members in utilizing data mining and/or statistical techniques to develop analytic insights, sound hypotheses, and informed recommendations. Identify opportunities to apply quantitative methods to improve business performance.\nApply advanced skill, knowledge, and/or experience while leading teams to complete modeling projects aligned with established company policies and industry-wide modeling practices.\nContribute to developing validation or testing strategies and assessing the quality and risk of model methodologies, outputs, and processes and applying understanding of relevant business context to interpret model results, monitor performance, and assess risks.\nCommunicate technical subject matter clearly and concisely to department leadership and teams.\nConduct in-depth analysis of economic indicators, market trends, borrower behavior, and macroeconomic factors to inform modeling assumptions, parameter estimates, cash-flow forecasts, and scenario analysis.\nSupport the development and implementation of retained portfolio whole-loan behavioral and cash-flow models, with emphasis on non-performing (NPL) and re-performing (RPL) loans.\nBuild and evaluate model-ready loan-level datasets and perform variable selection, calibration, in-sample/out-of-sample backtesting, benchmarking, sensitivity testing, and model performance analysis.\nTranslate behavioral model outputs into cash flows and assess impacts on valuation and risk measures such as duration, key-rate duration, and convexity; reconcile and benchmark results across models and implementations.\nSupport the development and implementation of MBS prepayment models.\nApply AI/ML-enabled tools and advanced analytical techniques, where appropriate, to accelerate model research, coding, testing, documentation, and implementation while maintaining appropriate controls and model governance.\nCollaborate closely with cross-functional teams, including business stakeholders in Capital Markets, data scientists, economists, and risk managers to gather requirements, define project scope, and drive model development efforts.\nDevelop and maintain documentation, code repositories, and model validation reports in compliance with regulatory requirements and internal policies.\nStay current with emerging trends, methodologies, and best practices in quantitative finance, econometrics, statistics, and machine learning, and apply them to enhance modeling capabilities and stay ahead of the curve.\nTHE EXPERIENCE YOU BRING TO THE TABLE\nMinimum Required Experiences:\n4 years of proven experience in developing and implementing agency MBS prepayment, transition/termination, survival or time-to-event, multinomial/logistic, or other credit-risk and behavioral models.\nStrong understanding of statistical modeling, model calibration, backtesting, benchmarking, sensitivity analysis, scenario analysis, and stress testing. \nStrong written and verbal communication skills, including the ability to explain technical concepts to both quantitative and nontechnical audiences. \nAdvanced programming skills, particularly in Python, with the ability to develop scalable analytical solutions.\nShows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we work.\nShows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we work.\nDesired Experiences:\nBachelor degree or equivalent in Economics, Statistics, Computer Science, or a related quantitative field. Advanced degree preferred.\nStrong understanding of mortgage borrower behavior and credit performance, including delinquency progression, cure/re-default, modification/forbearance, prepayment, liquidation, recovery timing, and loss severity.\nStrong understanding of fixed-income valuation and mortgage cash-flow modeling, including discounted cash flow, interest-rate sensitivity, duration, convexity, and related risk analytics.\nStrong programming skills in Python, experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Experience in building UI for analytics tools in AWS environment a strong plus.\nStrong knowledge in AI/ML and experienced with AI/ML models for mortgage and loan modeling.\nExperienced with AI workflows for quantitative modeling and/or software engineering.\nProven ability to collaborate with Capital Markets, model users, risk, technology, and governance teams; manage multiple projects and deliver high-quality results under tight deadlines.\nTarget Pay Range: $141,000.00 - 184,000.00 a year\nInternal Job Title: Enterprise Modeling and Analytics - Quantitative Modeling - Lead Associate\nQualifications\nCredit Risk Modeling, Data Analytics, Machine Learning (ML), Mortgage Analytics, Prepayment, Python (Programming Language)Education:\nBachelor's Level Degree (Required)The future is what you make it to be. Discover compelling opportunities at Fanniemae.com/careers.\nFor most roles, employees are expected to work onsite on a regular basis at their designated office location. In-office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote.\nFannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity/gender expression, marital or parental status, or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment, unless to do so would cause undue hardship to the company. If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/application process, please complete this form.\nThe hiring range for this role is set forth below. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee's physical, mental, emotional, and financial well-being. See more here.\nRequisition compensation:\n141000to\n184000","description_format":"text","description_chars":8668,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Development Finance Institutions","Mortgage Lending & Brokers"],"lifecycle":[{"event":"open","at":"2026-11-03T00:17:27Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":3,"expected_fill_days":23,"reasons":["conf:2","velocity","win:early"],"computed_at":"2026-11-05T05:54:30Z"},"pay":{"stated_usd_annual":184000,"is_top_pay":false},"html_url":"https://alion.io/job/fannie-mae-lead-quantitative-modeler-prepayment-models","json_url":"https://alion.io/job/fannie-mae-lead-quantitative-modeler-prepayment-models.json","meta":{"generated_at":"2026-11-06T01:49:04Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":3027,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-07T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1757751},"rest":"https://alion.io/mcp/rest/get_company?id=1757751"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ffannie-mae-lead-quantitative-modeler-prepayment-models"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Ffannie-mae-lead-quantitative-modeler-prepayment-models"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Ffannie-mae-lead-quantitative-modeler-prepayment-models"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/fannie-mae-lead-quantitative-modeler-prepayment-models\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ffannie-mae-lead-quantitative-modeler-prepayment-models"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3651569}},{"tool":"search_jobs","arguments":{"company":"fanniemae.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3651569},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}