Quantitative Analyst Senior - Data Scientist

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Job description

Job DescriptionAt Freddie Mac, you will do important work to build a better housing finance system and you'll be part of a team helping to make homeownership and rental housing more accessible and affordable across the nation. As part of Freddie Mac's return to the office pilot, all employees, contingent workers and visitors must be fully vaccinated against COVID-19 in order to be on-site unless they have an approved accommodation.Position Overview:Are you looking for an opportunity to put your technical skills to use working on advanced modeling challenges? Freddie Mac's Modeling, Econometrics, Data Science & Analytics Department is currently seeking a Quantitative Analytics Senior who will be responsible for the development and execution of quantitative analytics and modeling projects in support of Freddie Mac's various modeling initiatives. Apply now and learn why there's #MoreAtFreddieMac!Our Impact:National and regional house price appreciation modelsDistressed asset valuation and optimal execution modelsNon-traditional borrower income estimation modelsR&D modeling for new initiatives Your Impact:Use techniques from statistics and machine learning to build housing models and decision tools.Write documentation to explain analytical decisions and comply with model oversight.Write programs to clean, coordinate and analyze large volumes of data.Make efficient use of the latest computing technologies to take advantage of big data and efficiently conduct analyses.Perform exploratory analysis and research and present results to both technical and non-technical audiences.Visualize data to communicate complex ideas.Implement machine learning algorithms using python or other open source languages.Implement and analyze natural language models using Deep Learning and other AI methodsImplement and analyze image recognition models using Deep Learning and other AI methodsImplement state of the art algorithms for machine interpretability .Implement data strategies for building unbiased modelsImplement scalable modeling pipelines to incorporate models into production applicationsImplement model monitoring methodologies to test for data and concept drift.Qualifications:Doctorate degree (or Master's degree with equivalent work experience) in statistics, data science or a related quantitative field.Coursework or work experience applying predictive modeling techniques from data science, statistics, machine learning, and econometrics to large data sets. Qualifying coursework may includebut is not limited todata science, statistics, machine learning, optimization, numerical analysis, scientific programming, computational methods, supervised learning, unsupervised learning, text mining, and image analysis.Coursework or work experience writing computer programs to implement data science pipelines and predictive algorithms. Programming languages may includebut are not limited toPython, R, SQL, Java, SAS, and MATLAB.Coursework or work experience using technologies for manipulating structured and unstructured data.Coursework or work experience using Big data technologies. Big data technologies may includebut are not limited toHadoop, Hive, Pig, Spark, relational databases, and NoSQL.Keys to Success in this Role:Effective interpersonal skills including the ability to collaborate successfully with other team members.Strong oral and written communication skills with ability to succinctly describe complex technical scenarios in simple, easily-understood terms.Ability to work independently and apply advance modeling techniques with minimal guidance.Eagerness to explore and implement new methodologies to traditional housing modeling problems.Current Freddie Mac employees please apply through the internal career site.Today, Freddie Mac makes home possible for one in four home borrowers and is one of the largest sources of financing for multifamily housing. Join our smart, creative and dedicated team and you'll do important work for the housing finance system and make a difference in the lives of others.We are an equal opportunity employer and value diversity and inclusion at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by applicable law. We will ensure that individuals with differing abilities 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.Notice 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 and register with our referral code: MAC.Time-type:Full timeJob Category:Research & ModelingFLSA Status:Exempt