Risk Analytics System Development Associate II - Mc Lean - Freddie Mac

    Freddie Mac
    Freddie Mac Mc Lean

    1 week ago

    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:
    Freddie Mac's Risk System Development team is seeking a talented professional with 1-3 years of experience to join as a Risk System Development Associate II. This role is specifically designed for individuals looking to advance their careers in risk management and financial services, particularly in the secondary mortgage market. It provides a platform to apply and expand your skills, make a tangible impact on our risk management systems, and contribute to the stability and success of a leading financial organization.
    Our Impact:
    As a key member of our Risk System Development team, you will play a pivotal role in enhancing and optimizing our risk management systems and processes. Your contributions will directly impact the effectiveness and efficiency of our risk management framework, contributing to the overall resilience and success of Freddie Mac within the financial services industry.
    Your Impact:

    • Support and enhance risk management processes and technologies, including Gen AI implementation, process flow optimization, and efficient EUC process management.
    • Collaborate cross-functionally to ensure smooth API/MFT set-up and integration, facilitating seamless data exchange and secure access management.
    • Leverage your analytical skills and programming expertise to interpret large datasets using Snowflake and SQL, driving insights that inform strategic decision-making.
    • Maintain data integrity and security by adhering to stringent access management protocols and implementing data governance best practices.
    • Stay abreast of industry trends and regulatory changes, especially regarding PPI data, to ensure our risk management systems are proactive and compliant.
    • Utilize your prior experience in the Freddie Mac or Fannie Mae environment to expedite your understanding of our unique systems and processes.
    Qualifications:
    • A Bachelor's degree in a quantitative or technical field (Computer Science, Engineering, Mathematics, or a related discipline) is required.
    • 1-3 years of industry experience in risk management, data analytics, financial services, or a similar field, preferably with exposure to the Freddie Mac or Fannie Mae environment.
    • Proficiency in programming languages such as Python, SQL, or similar is expected, along with a demonstrated ability to learn new technologies quickly.
    • Strong analytical and problem-solving skills, including the ability to interpret complex data sets and communicate insights effectively to both technical and non-technical stakeholders.
    • Excellent organizational and time management skills, with a meticulous attention to detail and a track record of delivering high-quality work.
    • Ability to work independently, manage multiple priorities, and adapt to changing requirements in a dynamic, fast-paced environment.
    • Strong interpersonal and communication skills, with experience collaborating effectively in cross-functional teams.
    Keys to Success in this Role:
    • A demonstrated interest in risk management, financial services, and system development, coupled with a passion for continuous learning and professional growth.
    • Adaptability and a growth mindset, readily embracing new challenges, industry developments, and technological innovations.
    • Strong teamwork and collaboration abilities, fostering positive and productive relationships with colleagues and cross-functional partners.
    • Attention to detail and a methodical approach to problem-solving, ensuring accurate and reliable risk management system enhancements.
    • Prior experience with Freddie Mac or Fannie Mae systems, processes, and data is strongly preferred.
    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.
    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 and register with our referral code: MAC.
    Time-type:Full time
    FLSA 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.

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