Position Overview:

Do you want to fast track your career? Are you looking for an opportunity to work with an energetic, fast paced team with ground breaking solutions and tools which build and maintain the robotic, dynamic and Cloud based applications? We are searching for a creative and hardworking Quantitative Analytics Professional to join this exciting team. Apply now and learn why there’s #MoreAtFreddieMac!

Our Impact:

• We support one of the largest business data and application repositories of the company, which facilitate business decisions for modeling and reporting.

• We collaborate with business teams and IT teams to advance our technical capabilities and go from not yet to possible

• We pioneer various new technologies that advance our businesses customer’s needs

Your Impact:

• Understand business context and needs, and accordingly understand data flow from various structure/unstructured formats.

• Ensure completion of data analysis/lineage, operational support requirements such as SLAs and control reports, and other technical/business support as appropriate for the effort.

• Able to grasp system process flows and identify data points, calculations and business rules and help enhance operational processes.

• Understand and analyze current production process and help identify/analyze/document gaps and clearly communicate the same to the team.

• Act as liaison between business users and upstream operations teams to ensure all parties have complete understanding of issues/requests, requirements and process steps to ensure alignment and successful outcome.

• Follows established processes, procedures, and directions.

• Responsible for maintaining process documentation and other relevant records as needed.

• Be a creative problem solver and can adapt to a quickly changing environment.

• Manage concurrent and multiple priorities within fast changing environment and meet tight deadlines

• Support weekend and late nights deployments and production issues.

• Monitor daily production jobs and communicate to CAR users in a timely basis

Qualifications:

• Master's degree in statistics, data 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.

• Coursework or work experience writing computer programs to implement data science pipelines and predictive algorithms. Programming languages may include—but are not limited to—Python, R, SQL, Java, SAS.

• Coursework or work experience using technologies for manipulating structured and unstructured big data. Big data technologies may include—but are not limited to—Hadoop, Hive, Pig, Spark, relational databases, and NoSQL.

• Typically has 2-3 year work experience in quantitative analysis and production support activities.

• 2 years of data analysis experience, with a combination of business and technical skills with experience working with data marts/database from structured/unstructured data.

• Experience with database, data model and data warehouse concepts

• 2-3 years of Unix Shell scripts, Python, PySpark, programming experience

• Strong SQL, Excel and programming skills using SAS, Python/R

• Familiarity with structured, semi-structured and unstructured data sets (XML, JSON, etc.), processing and analyzing

• Proficiency with Microsoft Office (Word, Excel, etc.)

• 1+ years of experience with Autosys scripts or similar job scheduling tools

• Working knowledge of Hadoop and AWS Cloud data environment

• Familiar with BI tools, such as Tableau, MicroStrategy.

• Mortgage industry, collateral modeling experience or financial analysis is plus

Keys to Success in this Role:

• Demonstrates flexibility and adaptability to changes

• Strong organizational and time management skills and can work on multiple priorities and deadlines

• Strong quantitative, analytical, and problem-solving skills

• Strong organizational and time management skills

• Superb communication skills and teamwork attitude

Current Freddie Mac employees please apply through the internal career site.

Today, Freddie Mac makes home possible for one in four home borrowers and is one of the largest sources of financing for multifamily housing. Join our smart, creative and dedicated team and you’ll do important work for the housing finance system and make a difference in the lives of others.

We are an equal opportunity employer and value diversity and inclusion at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by applicable law. We will ensure that individuals with differing abilities 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.

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 $92,000 - $138,000 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.