Quantitative Analytics Professional

Freddie Mac; McLean (VA); On-site; USD 105,000 - 157,000; Full time

Job summary

Freddie Mac is seeking a Quantitative Analytics Professional in the United States to lead data strategy, analytics tool design, and cross-functional collaboration across risk governance. You will develop models and data-driven solutions for Multifamily risk management and decision making.

The role focuses on data analytics, model validation support, and delivering reporting platforms for risk managers and business partners.

Qualifications

• Master's degree in data science, statistics, mathematics, computer science or a related quantitative field.
• Experience applying predictive modeling techniques to large data sets across data science, statistics, ML, and econometrics.
• Demonstrated experience in quantitative data management, financial model development, and model risk management.
• Proficiency in programming languages such as Python, SQL or Unix.
• Experience working with large data sets and relational databases.
• Strong analytical and problem-solving skills with attention to detail.
• Strong interpersonal and communication skills, particularly in writing.

Responsibilities

• Lead efforts on data strategy, analytical tool design, and uses of Multifamily models; provide inputs on data, analytics, and methodology.
• Lead best practices and improve Multifamily data management and analytics products to adhere to standards and regulatory requirements.
• Collaborate with cross-functional teams to implement data strategy and enhance data-driven culture.
• Design and implement analytical tools, data research and reporting platforms for management, users and risk managers.
• Actively build and engage data science and engineering communities through effective communication and leadership.
• Respond quickly with a small team to urgent data analysis requests.
• Build strong productive relationships with stakeholders across three lines of risk governance.

Skills

Analytical thinking

Interpersonal communication

Self-motivation

Problem solving

Education

Master's degree in data science or related quantitative field

Tools

Python

SQL

Unix

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:

Are you passionate about data? Are you curious and analytical? 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! We are seeking a Quantitative Analytics Professional who will be responsible for engaging the key Multifamily business partners to ensure the reasonableness and consistency of quantitative models, analytics and methodologies used in risk management and decision making in Multifamily business.

Our Impact:

We are the owners and developers of all major Multifamily credit, market risk and business decision models/tools. Our goal is to develop and apply all quantitative models and advanced data science tools to facilitate Multifamily risk management and optimize portfolio strategies.

Our team is also responsible for Multifamily data analytics, regulatory capital, stress testing and business initiatives. This is an increasingly critical role given our focus on safety and soundness in multifamily business as well as the emerging risk management under the dynamical market environment.

Your Impact:

• 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.

• Respond quickly with a small team to urgent data analysis requests.

• Build strong productive relationship with various stakeholders across three lines of risk governance.

Qualifications:

• Master's degree in data science, statistics, mathematics, computer 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 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.

• 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

• 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.

• Extensive knowledge and experience in data-driven solutions, analytics, and software development.

• Ability to work with and collaborate across teams and where silos exist.

• Skilled and innovative problem solver.

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.

Time-type:Full timeFLSA Status:Non-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 $105,000 - $157,000 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.