Data Scientist

Salary: $78,750 - 131,250 per year Requirements: We require a bachelors degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative discipline. We require at least four years of professional analytical experience in financial services, consumer credit, or a related field, including solving complex business and risk challenges with data. We look for strong analytical, critical-thinking, and creative problem-solving abilities, with the capacity to interpret information, identify risk, and deliver practical solutions. We require excellent written and verbal communication skills for explaining technical and governance matters to stakeholders at different levels inside and outside the organization. We require strong project management skills and the ability to independently handle multiple assignments, priorities, documentation requests, and validation work. We require advanced programming proficiency in a statistical language such as R. We require experience using SQL for extracting, manipulating, segmenting, and analyzing large datasets. We require experience building analytical programs with tools such as Python, Hive, Pig, or similar technologies. We require the ability to perform statistical analysis on large-scale datasets in server-based or cloud computing environments. We require strong Microsoft Office skills for documentation, analysis, presentations, project tracking, and stakeholder communication. We would also value a masters degree in a highly quantitative field, along with at least two years of advanced analytical experience in financial services, consumer credit, or a related industry. We value familiarity with credit bureau data, consumer credit risk, and credit bureau business practices. We value experience with model risk management, model governance, model validation, or regulatory documentation, or the interest and ability to develop expertise in model risk governance and controls. We value experience acting as a model governance subject matter expert or providing project leadership across cross-functional stakeholders. We value experience in a global organization and with modern big data technologies such as Hadoop, Spark, and cloud platforms. Responsibilities: We support the development and upkeep of model risk management policies, procedures, standards, and guidance that strengthen our model risk framework. We collect, review, organize, and maintain model documentation from model developers to prepare for independent validation. We respond to model documentation requests from clients, regulators, and internal auditors while balancing transparency with protection of our intellectual property. We work with model developers, Legal, Compliance, and other stakeholders to improve model governance processes and create standardized templates and documentation language. We maintain the enterprise model inventory and recommend and implement improvements that enhance accuracy, usability, and governance. We develop and manage the annual model validation plan, monitor validation activity, and support timely completion of scheduled validations. We create, maintain, and present model risk management training materials for model developers and other key stakeholders. We design and write programs for data extraction, segmentation, and statistical analysis of large population datasets using R, Python, SQL, Hive, and Spark in server-based and cloud environments. We support credit risk management and business intelligence solutions through consulting engagements and research for our clients. Technologies: Big Data Business Intelligence Cloud Hadoop Hive Support Machine Learning Python SQL Spark More: We are collaborating through hackajob with TransUnion to connect with exceptional professionals for this hybrid role, which requires regular work both virtually and in person at an assigned TransUnion office location for at least two days per week. The Financial Services Analytics team develops credit risk management and business intelligence solutions through client consulting engagements and research, operating in a collaborative, innovation-focused environment that uses modern big data, cloud computing, statistical, and machine learning technologies and reports to the VP of Data Science and Analytics. We offer a broad benefits package covering health, protection, family, future, flexibility, and wellness, including medical, dental, and vision coverage from day one, retirement and stock purchase options, tuition reimbursement, paid time off, parental leave, volunteer time off, and wellbeing resources. We are committed to fostering an inclusive workplace and to creating positive impact through our Workforce for Good. last updated 36 week of 2026