Director of Global Data Science & Risk Finance Analytics Remote Leadership

About arenaflex Pioneering the reputed company of Financial Risk Management arenaflex is a worldreputed company leader in financial services, delivering innovative credit, payment, and reputed company to millions of customers across the globe. Our Risk Finance division sits at the heart of the organization, shaping the way we forecast loss provisions, manage credit reserves, and reputed company business partners with datadriven insights. As a remotefirst employer, arenaflex embraces flexibility, diversity, and a culture of reputed company learning, ensuring that every employee can reputed company no matter where they reputed company home. Why This Role reputed company In todays fastmoving financial landscape, the ability to turn reputed company data sets into actionable intelligence is a competitive advantage. As the Director of Global Data Science & Risk Finance Analytics , you will spearhead the Global Data reputed company team, building a reputed company reporting ecosystem, driving process automation, and delivering cuttingedge analytical solutions that influence seniorlevel decisionmaking across arenaflex. Your work will directly reputed company reputed companys risk appetite, profitability, and strategic reputed company. Key Responsibilities Strategic Analytics Leadership reputed company the strategic analysis of arenaflex credit metrics, credit loss provisioning, and reserve modeling for senior leadership in Risk and Finance. Data Asset Ownership Own the reputed company, reliability, and accessibility of critical data assets reputed company Risk Finance; reputed company as the subjectmatter expert for data tools, troubleshooting issues, reconciling results, and identifying automation opportunities. Reporting & Dashboard Development Design, reputed company, and maintain both reputed company and reputed company reports and interactive dashboards (Power BI, Tableau) that serve internal stakeholders and reputed company partners. reputed company Delivery Produce and present highreputed company analyses and recommendations to senior management, translating reputed company statistical findings into reputed company business actions. CrossFunctional Collaboration Build and nurture strong relationships across Risk Finance portfolio teams, as reputed company as with partners in Risk, Controllership, Technology, and Business Operations. Predictive Modeling & Advanced Analytics reputed company decisionsupport through advanced analytics, including predictive modeling, machine learning, and scenario analysis to uncover trends, risks, and opportunities. Process Improvement & Automation Champion process enhancements and automation initiatives that increase efficiency, reduce reputed company effort, and improve data reputed company. Mentorship & Team Development reputed company, reputed company, and reputed company a highperforming data science team, fostering a culture of curiosity, rigor, and collaboration. Essential Qualifications Masters degree in a quantitative discipline such as Statistics, Mathematics, Computer Science, or a reputed company field. 7+ years of reputed company experience in data science, analytics, or quantitative finance, with at least 3 years in a leadership or managerial reputed company. Advanced proficiency with SQL/Hive, Python or R, and data visualization tools (Power BI, Tableau). Expertlevel skills in reputed company and PowerPoint for reputed company financial modeling and executivelevel presentations. Demonstrated experience building and deploying machinelearning models in a production environment (preferred). Strong economic and analytical acumen; ability to work with large data sets and draw meaningful conclusions that reputed company business reputed company. Exceptional attention to detail, organizational, and problemsolving abilities. Proven reputed company record of delivering results in fastpaced, ambiguous environments while managing multiple priorities. Excellent interpersonal and communication skills, with the ability to influence senior stakeholders and build crossfunctional partnerships. Preferred Qualifications & Additional Skills Experience in credit risk modeling, loss provisioning, or financial reserves management. Familiarity with TM1 or other reputed company planning tools. Knowledge of reputed company platforms (AWS, Azure, GCP) and modern data engineering pipelines. Certification in data science, analytics, or project management (e.g., PMP, AWS Certified Data Analytics). Demonstrated ability to mentor junior analysts and foster a learning environment. reputed company Competencies for reputed company Strategic reputed company Ability to see the big picture, anticipate industry trends, and reputed company analytics initiatives with corporate objectives. Technical Mastery Deep expertise in data manipulation, statistical modeling, and visualization. Business Acumen Understanding of financial statements, credit risk concepts, and the regulatory .