Data Scientist - Credit Analytics

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    "requisitionDescription": "<p style=\"text-align: justify;\"><span style=\"font-size: 12px;\">Farmer Mac is seeking a highly motivated data scientist with experience in credit risk analytics to fill a dynamic role in the Credit department. This Data Scientist will use data science, statistics, and machine learning techniques to develop credit risk models and portfolio credit risk reporting solutions that provide actionable insights to stakeholders.&nbsp;<br></span></p><p><strong><span style=\"color: rgb(40, 50, 78);\">Position Summary<br></span></strong></p><p data-pasted=\"true\" style=\"text-align: justify;\"><span style=\"font-size: 12px;\">The Data Scientist &ndash; Credit Analytics is responsible for planning, executing, and maintaining data science projects. The Data Scientist will work closely with the Director &ndash; Credit Analytics and key stakeholders in the Credit, Finance, and Enterprise Risk Management departments, as well as Farmer Mac&rsquo;s Business Lines to evaluate the performance of existing credit models and develop new models for Farmer Mac&rsquo;s agricultural real estate and corporate loan portfolios. The role will also work with key stakeholders to understand their business needs and collaborate with the Sr. Data Analyst &ndash; Credit Analytics to identify data science and automation solutions to deliver key portfolio credit risk reporting.</span></p><p style=\"text-align: justify;\"><span style=\"font-size: 12px;\">The role is expected to quickly contribute to Farmer Mac&rsquo;s Credit Analytics function.</span></p><p style=\"text-align: justify;\"><span style=\"font-size: 12px;\">A suitable candidate must be a proactive self-starter who can contribute independently. The Data Scientist &ndash; Credit Analytics must also be detail-oriented, resourceful, and capable of producing high-quality work among competing priorities.</span></p><p><strong><span style=\"color: rgb(40, 50, 78);\">Who You Will Work With<br></span></strong></p><p style=\"text-align: justify;\"><span style=\"font-size: 12px;\">The Data Scientist - Credit Analytics will be an integral part of the Credit Analytics team, reporting directly to the Director - Credit Analytics, and working closely with the Credit team and key stakeholders in Finance, Enterprise Risk Management, and the Business Line. This role will have a direct impact on Farmer Mac&rsquo;s credit risk models and portfolio credit risk reporting products, with visibility to senior management.<br></span></p><p><strong><span style=\"color: rgb(40, 50, 78);\">Where You Will Work<br></span></strong></p><p style=\"text-align: justify;\"><span style=\"font-size: 12px;\">Farmer Mac embraces a Presence-with-Purpose work environment, which allows for flexible work locations while providing opportunities for teams to come together in the office with purpose. The position will be based in Farmer Mac&rsquo;s Washington, D.C. office, Johnston, IA, office or remotely if outside of those two metropolitan areas. Work outside core hours may be required for planned and unplanned activities, including completing time-sensitive projects and attending off-site meetings or events.<br></span></p><p><strong><span style=\"color: rgb(40, 50, 78);\">Primary Responsibilities and Duties<br></span></strong></p><ul><li data-pasted=\"true\"><span style=\"font-size: 12px;\">Lead projects to understand credit risk stakeholder needs, research portfolio credit risk trends, and use data science techniques to provide actionable insights</span></li><li><span style=\"font-size: 12px;\">Develop, evaluate, and maintain credit risk models and other data science solutions to understand and project portfolio credit risk</span></li><li><span style=\"font-size: 12px;\">Conduct ongoing model monitoring and performance evaluation</span></li><li><span style=\"font-size: 12px;\">Develop and maintain advanced portfolio credit risk dashboards</span></li><li><span style=\"font-size: 12px;\">Develop expertise in Farmer Mac&rsquo;s data systems to support the creation of data sets suitable for data science product development and contribute to Farmer Mac&rsquo;s enterprise data quality initiatives</span></li><li><span style=\"font-size: 12px;\">Recommend analytical and data process improvements</span></li><li><span style=\"font-size: 12px;\">Develop and maintain procedures and documentation for assigned projects</span></li><li><span style=\"font-size: 12px;\">Follow Farmer Mac&rsquo;s model risk management and AI governance best practices</span></li><li><span style=\"font-size: 12px;\">Provide support to end users of the Credit Analytics team&rsquo;s models and reports</span></li></ul><p><strong><span style=\"color: rgb(40, 50, 78);\">Desired Skills and Qualifications<br></span></strong></p><ul><li data-pasted=\"true\"><span style=\"font-size: 12px;\">Strong knowledge of statistics, machine learning, econometrics, time series, and related fields</span></li><li><span style=\"font-size: 12px;\">Domain knowledge of lending, economics, finance, or related fields</span></li><li><span style=\"font-size: 12px;\">Knowledge of model validation and model risk management principles and expectations</span></li><li><span style=\"font-size: 12px;\">Python (preferred) or R, SQL, git, and related programming skills</span></li><li><span style=\"font-size: 12px;\">Research skills</span></li><li><span style=\"font-size: 12px;\">Ability to communicate technical topics to audiences with varied backgrounds</span></li><li><span style=\"font-size: 12px;\">Experience using Power BI (preferred), Tableau, or similar visualization tools</span></li><li><span style=\"font-size: 12px;\">Self-starter with excellent critical thinking and communication skills</span></li><li><span style=\"font-size: 12px;\">Experience writing well-documented, reusable code and robust model documentation</span></li></ul><p><strong><span style=\"color: rgb(40, 50, 78); font-size: 14px;\">Professional Experience/Qualifications<br></span></strong></p><ul><li data-pasted=\"true\"><span style=\"font-size: 12px;\">Three to seven years of professional data science, credit modeling, econometric analysis, research, or related experience, preferably in roles with exposure to commercial, agricultural, or retail credit risk analytics and modeling</span></li><li><span style=\"font-size: 12px;\">SQL and at least one of Python (preferred) or R experience is required</span></li><li><span style=\"font-size: 12px;\">Master&rsquo;s degree in Data Science, Statistics, Mathematics, Economics, Finance, Computer Science, or a related field, required</span></li><li><span style=\"font-size: 12px;\">Knowledge of geospatial analytics is a plus</span></li><li><span style=\"font-size: 12px;\">Experience with Microsoft Azure is a plus</span></li></ul><p style=\"text-align: justify;\"><span style=\"font-size: 12px;\">Our compensation philosophy is targeted pay positioning relative to peers, our industry, and external markets. Farmer Mac is committed to a compensation program that will enable the organization to attract, motivate, reward, and retain highly skilled and creative talent to maintain sustained long-term performance and achieve the organization&rsquo;s strategic business objectives. The typical starting salary range for this position is between $115,000 - $160,000, although wages can vary based on experience and geography, plus performance-based bonus and equity-based awards. Individual compensation will be commensurate with the candidate&#39;s experience.</span></p>\n",
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