This is a 12 month contract with Freddie Mac. Hybrid 2 days onsite in Mclean VA and 3 days remote. Visa all open. No H1B. LI is must. Freddie Mac is building a culture based on modern software delivery practices to support the secondary mortgage market through rapid technology and best practice innovation. Are you looking to be part of a technology team beyond the ordinary? A place full of interesting challenges and the engineers up to solving them? Then welcome to Financial Engineering. This is the place where the models become software, where many of the numbers that drive our business decisions are produced. Our systems are used for interest rate and credit risk management, investment analysis and trading, security issuance, automated loan underwriting, distressed loan decisions, economic and regulatory capital, property valuation, financial reporting, economic and GAAP forecasting, and more! If you have finance and/or technology background, experience with mission-critical applications, and thrive on ensuring operational excellence, apply for a product management position in the Risk/P&L trading technology team. Your Work Falls into Three Primary Categories: Monitor System's Execution in Production Use automated and other tools to detect any problems in the operational environment Proactively communicate with technology and business to resolve operational problems Implement automation requirements and other technical enhancements Gather and communicate patterns/trends in application performance to key stakeholders First-line Requirements Validation Actively seek opportunities to continuously improve the quality of systems and processes. Analysis and Communication Perform designed or ad-hoc analysis in a rapidly changing and moving environment in order to support capital markets trading desks. Clearly craft and articulate messages (both written and verbal) related to Finance and Technology to a variety of audiences Seek and design ways to automate tasks; ideally using Python or other programming languages. Qualifications: 3 years of work experience. 3 years of experience with analytical tools: SQL, Python, Excel, and similar Good knowledge of Fixed Income and/or Finance Analytics Ability to analyze large datasets Ability to work on weekend and evenings for one week a month is necessary. Experience in interfacing with and/or supporting mission-critical applications or tasks BSc in Finance, Computer Science or similar Keys to Success in this Role Communication and interpersonal skills working in a collaborative team and interacting with business customers Bringing an analytical and imaginative mindset to work every day Relentless attention to business and technical details Passion to ensure customer satisfaction and improve processes. PREFERRED SKILLS Advanced degree; experience with programming languages: Java, Python, or similar; experience with Docker and Docker Containers