Quantitative Risk Analysis Manager

Freddie Mac; McLean (VA); On-site; USD 161,000 - 241,000; Full time

Job summary

Freddie Mac is seeking a Quantitative Risk Analysis Manager to lead the Credit Analytics & Reporting team within the Single-Family division. You will oversee reporting and analytics on collateral offerings and provide model support to business users.

This role demands deep data expertise, proficiency with SQL, SAS, R or Python, and the ability to manage a small team, deliver monthly baseline reports, and present insights to stakeholders across the enterprise.

Qualifications

• Degree in Statistics, Economics, Finance, Mathematics, Computer Science, Data Science or related field.
• 5+ years of data analysis experience with SQL, SAS, R or Python.
• Mortgage industry experience or financial/credit analysis.

Responsibilities

• Lead a team of three to four people and drive monthly baseline reports.
• Interpret results related to collateral risk management and ensure proper controls.
• Perform ad-hoc analytics to support collateral policy and decision making.
• Cleanses, manipulates and analyzes large datasets using statistical software.
• Collaborate across teams to meet business objectives and communicate findings.

Skills

SQL

SAS

Python

R

Data analysis

Education

Degree in Statistics, Economics, Finance, Mathematics, Computer Science, Data Science or related field

Tools

SQL

SAS

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. Continue your career journey where your work contributes to a greater purpose.

Position Overview:

We are currently seeking a Quantitative Risk Analysis Manager to join the Credit Analytics & Reporting team in the Single-Family division. This position will be tasked with managing a team responsible for reporting and analytics regarding Collateral offerings as well as Collateral model business user supports. The role requires deep understanding of data and current code base, designing analytical approaches for business questions and scenario evaluations, managing data research, analyses and preparation of reports and presentations.

Our Impact:

• Our team is responsible for producing reporting packages to monitor trends and performance.
• We analyze different test and learn or pilot programs to assess risk of the offerings and create reports to monitor these offerings closely to assess broad roll out.
• We perform significant user activities for enterprise Collateral models for user acceptance testing and provide feedback.

Your Impact:

• Manage a team of three to four people
• Complete baseline processes and reports monthly and interpret results as it relates to collateral risk management
• Follow appropriate controls and standards established to maintain and document for processes & reports.
• Participate in performing ad-hoc analytics in support of collateral policy
• Cleanse, manipulate and analyze large datasets using statistical software
• Collaborate with team members and interact across organizational lines to meet business objectives

Qualifications:

• Degree in Statistics, Economics, Finance, Mathematics, Computer Science, Data Science or related field with 8-10 years related experience
• 5+ years of data analysis experience, with a combination of business and technical skills (SQL, SAS, R or Python programming experience). Experience in analyzing and manipulating large data sets
• Mortgage industry experience or financial / credit analysis

Keys to Success in this Role:

• Self-motivated, pro-active, and problem solver
• Proven quantitative, analytical and problem-solving skills
• Strong communication skills both oral and written
• Excellent SAS and SQL programming skills
• Must be able to manage several priorities, meet deadlines, identify and call out issues appropriately to the management

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.

Information on these benefit programs is available on our Careers site.

This position has an annualized market-based salary range of $161,000 - $241,000 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.