Urgent! Quantitative Analytics Tech Lead Job Opening In McLean – Now Hiring Freddie Mac
JOB 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.
Position Overview:
Freddie Mac’s Single-Family Division is currently seeking a Quantitative Analytics Technical Lead to be responsible for the development and execution of statistical models and applications in support of business and risk decisions as a member of the Credit Risk Model Team.
Our Impact:
Our team is responsible for the development and analytic support of Credit risk models such as CECL model, supports the single-Family business for risk decisions.
We apply econometric, machine learning and statistical modeling to understand business problems and produce credit risk forecast for the mortgage portfolio.
Your Impact:
Developing analytical methods and models that assess the credit risk of new and existing financial and mortgage products.
Providing innovative, detailed and practical solutions to an extensive range of fast paced and complicated problems.
Developing and validating loss forecasting models, conducting research on improvements to the existing models, and applying industry standard methodologies and techniques to meet various business needs.
Coordinating 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.
Providing modeling and analytical support to a line of business or product area, functioning as day-to-day technical specialist.
Preparing documentation for the technical analytics and rationale through the model development to comply with model oversight and support model review for approval.
Working under limited direction, independently determining and developing approach to solutions.
Qualifications:
PhD in Statistics, Math, Economics, Computer Science or a related quantitative field with at least 3 years of related post-graduate work experience; or Master degree with at least 5 years of related experience
At least three years of experience in model development including logistic regression
Strong programming skills in SAS, SQL and Unix.
Experience with programming language such as Python, R, VBA, Java or C++
Experience working with large data sets and relational database
Experience working with mortgage or consumer credit risk models, prepayment models and severity models
Experience with competing-risk hazard models, transition models, loss forecasting and stress testing
Experience in data science, machine learning and related technologies
Keys to Success in this Role:
Outstanding quantitative, empirical analysis, and research skills
Solid understanding of econometric models, tools and techniques
Strong programming skills
Current Freddie Mac employees please apply through the internal career site.
We 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.
A 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.
CA 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.
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Unlock Your Quantitative Analytics Potential: Insight & Career Growth Guide
Real-time Quantitative Analytics Jobs Trends in McLean, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Quantitative Analytics in McLean, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 12750 jobs in United States and 43 jobs in McLean. This comprehensive analysis highlights market share and opportunities for professionals in Quantitative Analytics roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Freddie Mac is currently hiring and seeking a Quantitative Analytics Tech Lead to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Freddie Mac adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Quantitative Analytics Tech Lead Jobs United States varies, but the pay scale is rated "Standard" in McLean. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Quantitative Analytics Tech Lead typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Quantitative Analytics Tech Lead interview at Freddie Mac, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Freddie Mac's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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