{"id":3334167,"url":"https://alion.io/job/freddie-mac-quantitative-analytics-senior-2","title":"Quantitative Analytics Senior","company":{"id":1756147,"name":"Freddie Mac","domain":"freddiemac.com","url":"https://alion.io/company/freddiemac","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":94,"open_postings":7,"ghost_share":0,"stale_share":0.429,"repost_share":0,"time_to_fill_p50_days":19,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["McLean, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":126000,"max":190000,"currency":"USD","period":"year","gross":null,"usd_annual":190000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Dask","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"MATLAB","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}],"status":"live","first_seen_at":"2026-10-26T00:00:00Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-10-31T19:05:05Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose.\nPosition Overview:\nAs a Data Scientist on the Collateral Modeling and Analytics team at Freddie Mac, you will join a group of skilled professionals who use data science to solve important business problems. You will apply statistical and machine learning techniques to build tools that will be used daily to make decisions about the collateral underlying the mortgages in Freddie Mac’s portfolio. You will make efficient use of distributed computing technologies and state of art modeling algorithms with the latest structured and unstructured big data available.\nOur Impact:\nOur team build tools that will be used daily to make decisions about the collateral underlying the mortgages in Freddie Mac’s portfolio and help the company to make intelligent business decisions for risk management.\nYour Impact:\nDeveloping analytical methods and models that assess the collateral risk of new and existing financial and mortgage products.\nProviding innovative, detailed, and practical solutions to an extensive range of demanding and complicated problems.\nImplementing statistical models in efficient software languages, coding model prototypes for specification and test cases, and modifying source codes in the existing application.\nCoordinating the testing through the model implementation, conducting back tests to monitor the model performance, and performing economic tests and stress tests to validate the model forecast results.\nProviding modeling and analytical support to a line of business or product area, functioning as day-to-day technical specialist.\nPreparing documentation for the technical analytics and rationale through the model development to align with model oversight and support model review for approval.\nWorking under limited direction, independently resolving problems, and developing approach to solutions.\nQualifications:\nDoctorate degree, or Master degree with 3 years of equivalent work experience, in statistics, computer science, statistics, economics or a related quantitative field.\nCoursework or work experience in applying predictive modeling techniques from finance, statistics, mathematics, data science, or computer programming to large data sets. Qualifying coursework may include, but is not limited to, advanced statistics, mathematical programming, optimization, machine learning, computational methods, design and analysis of algorithms, Bayesian methods, derivatives, or Monte Carlo methods.\nCoursework or work experience in writing statistical or optimization programs to develop models and algorithms. Programming languages may include, but are not limited to, Python, R, SAS, SQL, Java, or MATLAB.\nExperience in working with large data sets and relational database.\nExperience in statistical model development and implementation is preferred.\nExperience with software development and system setup for model application is preferred.\nExperience in machine learning libraries such Scikit-learn, TensorFlow, PyTorch, and Dask is preferred.\nExperience with advanced algorithms, ensemble method, text mining, and image analytics is a plus.\nDemonstrated knowledge of AI tools and technologies, with a strong commitment to continuous learning and staying up-to-date with advancements in artificial intelligence\nKeys to Success in this Role:\nStrong oral and written communication skills with ability to succinctly describe complex technical scenarios in simple and easily-understood terms.\nSolid oral and written communication skills. Ability to pitch and storyboard a project;\nExceptional quantitative, empirical analysis, and research skills.\nPositive and independent thinking.\nStrong hands-on ability to handle and process large quantity of structured and unstructured data.\nStrong desire and capability to learn new big data and machine learning technologies.\nCurrent Freddie Mac employees please apply through the internal career site.\nWe consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.\nA safe and secure environment is critical to Freddie Mac’s business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.\nCA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.\nNotice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC.\nTime-type:Full timeFLSA Status:ExemptFreddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.\nThis position has an annualized market-based salary range of $126,000 - $190,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.","description_format":"text","description_chars":6484,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Mortgage Lending & Brokers"],"lifecycle":[{"event":"open","at":"2026-10-27T13:06:59Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":5,"expected_fill_days":19,"reasons":["conf:0","velocity","win:early"],"computed_at":"2026-10-31T05:58:55Z"},"pay":{"stated_usd_annual":190000,"is_top_pay":true},"html_url":"https://alion.io/job/freddie-mac-quantitative-analytics-senior-2","json_url":"https://alion.io/job/freddie-mac-quantitative-analytics-senior-2.json","meta":{"generated_at":"2026-10-31T21:21:25Z","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":33406,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-01T00:00:00Z"}},"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":1756147},"rest":"https://alion.io/mcp/rest/get_company?id=1756147"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ffreddie-mac-quantitative-analytics-senior-2"},{"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%2Ffreddie-mac-quantitative-analytics-senior-2"},{"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%2Ffreddie-mac-quantitative-analytics-senior-2"},{"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/freddie-mac-quantitative-analytics-senior-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ffreddie-mac-quantitative-analytics-senior-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3334167}},{"tool":"search_jobs","arguments":{"company":"freddiemac.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3334167},"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. 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