Intern Quantitative Risk Modeler Jobs in Fort Worth, TX

## SF Risk - Risk Analysis - Senior AssociateApplyremote type: Flexlocations: Plano, TXtime type: Full timeposted on: Posted Yesterdayjob requisition id: JR2703Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance. Here, your expertise can help fuel purpose-driven innovation that expands access to homeownership and affordable rental housing across the country. Join Fannie Mae to grow your career and help people find a place to call home.Job DescriptionAs a valued colleague on our team, you will contribute to risk monitoring and reviews for the organization, coordinate risk mitigation activities, and provide risk mitigation assistance to other groups.Please note this position can be based out of one of our 3 Hub Offices in Plano, TX, Reston, VA or Washington DCTHE IMPACT YOU WILL MAKEThe Book Portfolio Credit Risk Senior Associate role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:* Assist team with monitoring and identifying risks to our portfolio through data analysis.* Report on risks and participate in developing solutions.* Provide data and quantitative analytics support to the SF leadership related to credit risk* Perform analysis to develop risk outlook to facilitate forward-looking credit risk management* Conduct research on emerging risks, to identify, assess and report emerging risks based on economic, market and other conditions* Assist with coordinating risk activities across groups.* Support team with risk mitigation strategies.* Carry out tasks to avoid risks or mitigate their impact.* Shows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we work.THE EXPERIENCE YOU BRING TO THE TEAMDesired Experience* Bachelor's degree or equivalent; advanced degrees in related areas (e.g. quantitative finance, economics, statistics, etc.) preferred. At least 2 years' full-time working experience in related areas required.* Possess an understanding of residential mortgage credit risk as well as experience analyzing portfolio characteristics, identifying risk drivers, and proposing risk mitigation solutions.* Credit risk modeling and stress testing experience a plus* Experience with data analysis and utilizing data to identify trends or relationships to provide insights and inform decisions based on sound analysis. Experience gathering accurate information to explain rationale and answer critical questions.* Experience monitoring, forecasting, and measuring credit risk, conducting risk assessments, and identifying gaps in existing risk monitoring frameworks.* Strong skills in data query and processing using such tools as SQL, Python, and R* Experience in utilizing AI tools and technologies (such as ChatGPT, Copilot) to improve process, generate deliverables and gain efficiencies* Excellent verbal and written communication skills. Skilled in graphical representation of information using charts, diagrams, and dashboards with programs and tools such as Excel, Tableau, or Power BI. Proven ability to present information and ideas to audiences in a compelling way that is engaging and easy to understand.* Demonstrated relationship management skills with the ability to manage and engage stakeholders and build relationship networks. Able to effectively work with people with different functional expertise respectfully and cooperatively towards a common goal.* Experience in influencing including persuading others, facilitating meetings, and resolving conflict to improve or correct performance to achieve desired outcomes.* Skilled in Tableau* Skilled in Excel* Experience with SQL, Python, R#LI - TW1 - HybridQualificationsAmazon Web Services (AWS), Amazon Web Services (AWS), Artificial Intelligence (AI), Collaborating Cross-Functionally, Communication, Credit Risk Analysis, Credit Risk Modeling, Credit Risk Reporting, Data Analysis Interpretation, Data Mining, Data Query, Data Query Language, Data Visualization, Documentation Reporting, Identifying Risks, Machine Learning (AI), Predictive Modeling, Python (Programming Language), Quantitative Risk Analysis, Relationship Networking, Research Facilitation, Residential Mortgages, Risk Analysis, Risk Assessments, Risk Monitoring {+ 3 more}Education:Bachelor's Level Degree (Required), Master's Level DegreeThe future is what you make it to be. Discover compelling opportunities at Fanniemae.com/careers.For most roles, employees are expected to work onsite on a regular basis at their designated office location. In-office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote.Fannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity/gender expression, marital or parental status, or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment, unless to do so would cause undue hardship to the company. If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/application process, please complete this form.The hiring range for this role is set forth below. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee's physical, mental, emotional, and financial well-being. See more here.Requisition compensation:96000to124000 #J-18808-Ljbffr