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Quantitative Analytics Senior Tech Lead - Multifamily Model Research

Freddiemac freddiemac.com Open
McLean Full-time Senior Engineering Leadership

At a glance

Senior Engineering Leadership role at Freddiemac. McLean · full-time · $159,000–$239,000 base.

SalaryStated by Freddiemac
$159,000 – $239,000
Base salary for this role, in USD per year, as published in the posting.
This role, from FreddiemacOur estimate for the market: $175,500–$210,900Median $201,000
The range includes the market median of $201,000 for senior engineering leadership roles in McLean.
Worked out from 9 postings that stated pay, median $201,000. Last updated Nov 3, 2026.
RoleEngineering Leadership
SenioritySenior
LocationMcLean
EmploymentFull-time
Base pay$159,000–$239,000
PostedOct 22, 2026
Role brief

techroles summary, based on the employer's posting.

What you'll do

  • Build and refine quantitative approaches for multifamily credit models, including research, testing and prototyping
  • Create statistical models and run analysis that supports multifamily business teams and risk decisions
  • Turn model findings into practical recommendations for senior stakeholders and explain the choices behind them
  • Lead projects, coordinate with stakeholders and keep work moving independently
  • Help maintain model governance by supporting compliance with regulatory standards

What you bring

  • At least ten years in quantitative modeling, mortgage credit risk, commercial real estate analytics or another related field
  • An advanced degree in economics, finance, statistics, mathematics or a related discipline is preferred
  • Strong programming skills in Python, R, C++ or another listed language, plus experience building financial models
  • Hands-on knowledge of predictive modeling, econometrics, optimization, machine learning or Monte Carlo simulation
  • Experience designing stochastic processes, modeling risk drivers and checking simulation results

Who this fits

This senior technical lead role suits someone who can work independently, direct projects and collaborate across teams. You’ll need to communicate modeling results and defend your analytical choices to senior stakeholders. The role is based in McLean, Virginia.

From the employer

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:

Are you curious, entrepreneurial, and analytical? Do you enjoy solving complex real-world problems with advanced quantitative techniques? Freddie Mac’s Multifamily Modeling team within Multifamily Portfolio and Risk Management is seeking a Quantitative Analytics Senior Tech Lead to develop and manage quantitative models, deliver analytics, and create methodologies that support decision-making and risk management within the $500Bn+ Multifamily business.

You will lead projects, coordinate with stakeholders, and work independently to conduct data analysis, model development, prototyping, testing, and cross-team collaboration. Ideal candidates have strong mathematical/statistical modeling expertise and robust programming skills, with experience in time series econometrics or large-scale simulation models (e.g., Monte Carlo simulations, multi-scenario forecasting engines, cash-flow simulators).


Our Impact:

  • Drive quantitative research and modeling for multifamily credit risk, economic capital, risk rating, and costing/pricing analytics.
  • Innovate analytics to improve efficiency and strengthen risk management.
  • Ensure compliance with model risk governance and regulatory standards.

Your Impact:

  • Perform advanced research to develop and enhance modeling approaches for MF credit models.
  • Develop and implement statistical models using common programming languages.
  • Provide analytical support across multifamily business functions.
  • Translate model insights into actionable recommendations for senior stakeholders.
  • Manage projects effectively and communicate progress clearly.
  • Support model governance activities to ensure compliance.

Qualifications:

  • Advanced degree (Master’s or Ph.D.) in Economics, Finance, Statistics, Mathematics, or related field preferred; 10+ years relevant experience in quantitative modeling, mortgage credit risk, commercial real estate analytics, financial risk management, or related fields.
  • Expertise in predictive modeling, econometrics, optimization, machine learning, and Monte Carlo simulations.
  • Proficiency in programming languages such as Python, R, C++, SQL, or SAS.
  • Proficiency in designing stochastic processes, modeling risk drivers, and validating simulation outputs.
  • Experience in financial modeling, model validation, and analytics.
  • Ability to translate business requirements into modeling and analytics solutions.
  • Strong project management skills and ability to work independently.
  • Knowledge of financial services and mortgage finance preferred.

Keys to Success in this Role:

  • Ownership of work, can-do attitude and collaborative mindset.
  • Self-motivated and able to work efficiently under pressure.
  • Innovative problem-solving and research skills.
  • Detail-oriented while maintaining strategic perspective.
  • Strong coding and analytical/statistical skills.
  • Ability to justify modeling choices and present results effectively.

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.

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 www.BountyJobs.com and register with our referral code: MAC.

Time-type:Full time

FLSA Status:Exempt

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.

This position has an annualized market-based salary range of $159,000 - $239,000 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.
Opportunity

Engineering Leadership work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Engineering Leadership$150k+

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By the team behind techroles.

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Opportunity

Engineering Leadership work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind techroles.