Quantitative Analytics Manager

Employer
Freddie Mac
Location
McLean, VA
Salary
Competitive
Posted
Aug 18, 2019
Closes
Aug 27, 2019
Ref
12339BR
Function
Analyst
Hours
Full Time
Freddie Mac's Single Family Division is currently seeking a Quantitative Analytics Manager to build, design and implement data ingestion, engineering of risk management data process as a manager of the IDEA (Innovation, Data Engineering and Analytics) team.

Your Work Falls Into Three Primary Categories

Technical Management
  • Manage IDEA Big Data Projects - Manages the implementation of new data consumption capabilities to meet SF Risk business needs in conjunction with Business Owner, Governance, Operations, and IT teams.
  • Leads large, strategic, cross-disciplinary business change efforts, often among members of a project team. Must be a technical leader that can drive project processes and technical projects to meet time sensitive deadlines
  • Analyzes issues and develops viable solutions; and directs the work of internal and external resources as well as with our customers.
  • Mentor and train staff in the Big Data Tools and Technologies

Data Engineering
  • Reviews quantitative analyst program codes and scripts, which developed using Python, pySpark and SQL.
  • Owns one or more data ingestion pipelines and may also be considered analytical or procedural "experts" representing a unit or team on cross-function process or project deliverables.
  • Have experience manipulating and analyzing large datasets (Structured and Unstructured data) using Big Data tools
  • Works on issues of diverse scope where analysis of situation or data requires evaluation of a variety of factors, including an understanding of current business trends

Communication
  • Works with stakeholders to gather and manage the business requirements application migrations from on premise datacenters to cloud environments.
  • Works directly with Tech Leads and Directors to ensure project success
  • Working knowledge DevOps, Containerization and development of CI/CD pipelines
  • Present ideas and recommendations to management


Qualifications

Qualifications
  • Degree in Statistics, Economics, Business, Mathematics, Computer Science or related field with 6 years of related experience
  • 5+ years of data analysis experience, with a combination of business and technical skills
  • Working knowledge of the business use cases and emerging technologies used in the exploitation of 'Big Data' including Hadoop related tools.
  • Expert knowledge of build, design, deploy of programming skills using Python, PySpark and SQL
  • Strong quantitative, analytical, and problem-solving skills
  • Strong leadership aptitude and ability to engage others in developing risk management capabilities
  • Working knowledge of database, data warehouse, data modeling
  • At least 3 years of data strategy/ data warehouse experience and 2+ years of management experience.
  • Excellent communication skills (Verbal and Written)
  • Current experience with Big Data platforms, tools implementation (Structured and unstructured data) function with working knowledge of modeling, analytic, dash boarding, and reporting tools. (Responsibilities should be within the last 6-12 months)
  • Project Management and People Management experience

Keys to Success in this Role
  • Ability to manage multiple priorities and meet critical deadlines
  • Strong analytical and problem-solving skills
  • Excellent customer service skills
  • Ability to communicate effectively with team members, stakeholders, and management on both the business and IT teams

Top 3 Personal Competencies to Possesses
  • Drive for Execution: Treat obstacles as challenges to overcome, not excuses
  • Customer Focus: Personally, engage with customers to learn their needs
  • Seek and embrace change: Actively support culture change initiative


Preferred Skills

Preferred Skills
  • Mortgage industry experience or financial / credit analysis
  • Outstanding object-oriented design and programming skills in Python
  • Experience with distributed computing in a production environment
  • Strong quantitative and analytical skills
  • Experience with AWS storage and compute services is a plus
  • Strong communication, interpersonal, and leadership skills.


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. Freddie Mac is an equal opportunity and top diversity employer. EOE, M/F/D/V.

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