Freddie Mac
Quantitative Analytics Professional
McLean, VA · Full-time
Sponsorship not specified$105k-$157kDetected 20 days ago
PythonSQLLinuxMachine LearningData AnalysisData ScienceStatisticsLoad TestingResearchCommunicationProblem Solving
About the role
- Do you thrive on working in a team environment?
- Freddie Mac's Multifamily Portfolio and Risk Management team needs creative, forward-thinking individuals like you!
Responsibilities
- Lead efforts on data strategy, analytical tool design, and uses of Multifamily models; provide thoughtful inputs on development of Multifamily data, advanced analytics, and model assumptions/methodology.
- Lead best practices and improvement of Multifamily data management and analytical products to ensure adherence to industry standards and regulatory compliances.
- Collaborate with cross-functional teams to implement data strategy and enhance data uses and data-driven culture.
- Design and implement viable analytical tools/applications, data research and integrated reporting platforms for Multifamily management, business users and risk managers.
- Actively build and engage data science & engineering community through effective communication and leadership.
- Build strong productive relationship with various stakeholders across three lines of risk governance.
- Freddie Mac partners with BountyJobs for contingency search business through outside firms.
Requirements
- Master's degree in data science, statistics, mathematics, computer science or a related quantitative field.
- Demonstrated experience and expertise in quantitative data management, financial model development, credit risk evaluation and model risk management.
- Proficiency in programming languages such as Python, SQL or Unix
- Experience working with large data sets and relational database
- Extensive knowledge and experience in data-driven solutions, analytics, and software development.
- Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.
- Coursework or work experience applying predictive modeling techniques from data science, statistics, machine learning, and econometrics to large data sets. Qualifying coursework may include -but is not limited to-data science, statistics, machine learning, optimization, numerical analysis, scientific programming, computational methods, supervised learning, unsupervised learning, text mining, and image analysis.
- Strong analytical and problem-solving skills with a high level of attention to details.
- Strong interpersonal and communication skills, particularly written communication skills.
- Self‐motivated, with the capability of managing multiple priorities and efficient in proposing solutions.
- Keys to Success in this Role:
- Data-oriented mindset.
- Intellectual agility and interpersonal flexibility.
- Strong time-management, planning, and communication skills.
- Ability to work with and collaborate across teams and where silos exist.
Compensation
- This position has an annualized market-based salary range of $105,000 - $157,000 and is eligible to participate in the annual incentive program.
Benefits
- If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC.
- Freddie 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.
Company info
- 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.
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This listing is sourced directly from Freddie Mac's careers page and normalized into a canonical job model.