Senior Data Modeler, Enterprise Risk Technology
We are seeking a highly experienced and skilled Senior Data Modeler to join our Enterprise Risk Technology team at Freddie Mac. As a leader in the financial industry, Freddie Mac is committed to managing and mitigating risks in order to protect our company and the housing market as a whole. As the Senior Data Modeler, you will play a crucial role in designing and implementing data models that support our risk management strategies and drive informed business decisions. We are looking for an individual who is passionate about data, has a strong understanding of risk management principles, and is able to collaborate effectively with cross-functional teams. If you are a talented and driven individual looking to make a significant impact in a dynamic and fast-paced environment, we encourage you to apply for this exciting opportunity.
- Develop and maintain data models that accurately reflect the risk management needs and strategies of Freddie Mac.
- Collaborate with cross-functional teams to gather and analyze requirements for data models, ensuring alignment with business objectives and risk management goals.
- Utilize industry best practices and standards to design and implement efficient and effective data models.
- Monitor and evaluate the performance of existing data models, identifying areas for improvement and implementing necessary modifications.
- Communicate and present data model findings and recommendations to stakeholders, including senior management and risk committees.
- Ensure compliance with regulatory requirements and internal policies and procedures related to data modeling and risk management.
- Stay up-to-date with industry trends, advancements, and emerging technologies related to data modeling and risk management.
- Mentor and provide guidance to junior data modelers, fostering a collaborative and learning-focused team environment.
- Work closely with data engineers and analysts to ensure seamless integration and usability of data models in various systems and applications.
- Continuously assess and improve data model processes and procedures to enhance efficiency and accuracy.
- Participate in data governance initiatives to ensure data quality and integrity.
- Act as a subject matter expert on data modeling and risk management, providing guidance and support to stakeholders across the organization.
- Collaborate with external vendors and partners to leverage their expertise and tools in data modeling and risk management.
- Proactively identify and mitigate potential risks and issues related to data modeling, escalating to management as necessary.
- Represent Freddie Mac in industry forums and conferences, showcasing our innovative data modeling and risk management practices and solutions.
Extensive Experience In Data Modeling: The Candidate Should Have A Strong Background In Data Modeling, Including Experience With Conceptual, Logical, And Physical Data Models. They Should Be Well-Versed In Industry Standard Data Modeling Tools And Techniques.
Deep Understanding Of Enterprise Risk Technology: The Ideal Candidate Should Have A Thorough Understanding Of Enterprise Risk Technology, Including Risk Management Frameworks, Methodologies, And Best Practices. They Should Also Have Experience Implementing Risk Technology Solutions In A Large Organization.
Strong Analytical And Problem-Solving Skills: As A Senior Data Modeler, The Candidate Will Be Responsible For Identifying And Analyzing Complex Business Problems And Designing Data Models To Support Risk Management Initiatives. Strong Analytical And Problem-Solving Skills Are Essential For Success In This Role.
Excellent Communication And Collaboration Skills: The Candidate Should Be Able To Effectively Communicate Complex Technical Concepts To Non-Technical Stakeholders And Work Collaboratively With Cross-Functional Teams. They Should Also Have Experience Presenting Data Models And Recommendations To Senior Leadership.
Knowledge Of Regulatory Requirements: The Candidate Should Have A Strong Understanding Of Regulatory Requirements Related To Risk Management, Such As Basel Iii, Dodd-Frank, And Ccar. They Should Also Have Experience Designing Data Models That Comply With These Regulations.
Risk Management
Business Intelligence
Data Analysis
SQL Programming
Data Modeling
Financial Modeling
Data Mining
Data integration
Database design
Risk assessment
Data governance
Data architecture
Communication
Conflict Resolution
Customer Service
Emotional Intelligence
Leadership
Time management
creativity
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Senior Data Modeler, Enterprise Risk Technology is between $125,000 and $150,000 per year. However, this can vary depending on factors such as location, industry, and experience. Some senior data modelers may earn higher salaries if they have specialized skills or work in high-demand industries. It is also possible for senior data modelers to earn bonuses and other forms of compensation in addition to their base salary.
Apply with Video Cover Letter Add a warm greeting to your application and stand out!
Federal Home Loan Mortgage Corp. provides liquidity, stability and affordability to the U.S. housing market primarily by providing credit guarantee for residential mortgages originated by mortgage lenders and investing in mortgage loans and mortgage-related securities.
Get interviewed today!
JobzMall is the world‘ s largest video talent marketplace.It‘s ultrafast, fun, and human.
Get Started