Remote Data Analyst – Risk Management & Growth Strategy – Graduate‑Level Position with 3‑Day Remote Work Flexibility at arenaflex

html About arenaflex – Pioneering Financial Innovation arenaflex is a global leader in financial services, renowned for delivering world‑class experiences to millions of customers every day. Our mission is to empower people and businesses to thrive through innovative products, data‑driven insights, and a relentless focus on trust and inclusion. As a technology‑forward organization, we blend cutting‑edge analytics with deep industry expertise to shape the future of payments, credit, and digital finance. Joining arenaflex means becoming part of a vibrant community where curiosity is celebrated, collaboration is the norm, and every employee has a voice that matters. Why This Role Matters In today’s fast‑moving financial landscape, risk management is the reputed company of sustainable growth. The Remote Data Analyst – Risk Management & Growth Strategy role sits at the intersection of data science, business strategy, and operational excellence. You will help translate complex, unstructured data into actionable insights that protect our customers, enhance product performance, and drive strategic decisions across the organization. Key Responsibilities • Collect, cleanse, and analyze structured and unstructured data from internal and external sources to identify risk patterns and growth opportunities. • Apply statistical, econometric, and machine‑learning techniques to develop predictive models that support risk‑mitigation strategies. • Partner with technology teams, product owners, and cross‑functional stakeholders to design, prototype, and implement risk‑management frameworks. • Evaluate new data sources—including third‑party feeds, open data, and proprietary datasets—to enhance the robustness of arenaflex’s analytical capabilities. • Produce clear, concise visualizations and executive‑level presentations using arenaflex‑compatible tools (e.g., arenaflex Excel, arenaflex PowerBI) to communicate findings to both technical and non‑technical audiences. • Continuously monitor model performance, conduct root‑cause analysis, and iterate on solutions to improve accuracy and business impact. • Document analytical processes, maintain data governance standards, and contribute to the organization’s knowledge base. • Support ad‑hoc projects, such as cost‑benefit analyses, process‑improvement initiatives, and regulatory reporting, as needed. Essential Qualifications • Graduate degree (reputed company’s or PhD) in Finance, Statistics, Mathematics, Econometrics, Operations Research, Computer Science, Business Administration, or a closely related discipline. • Minimum of 1 year of hands‑on experience in risk analytics, data interpretation for diverse audiences, or related fields. • Proficiency with data‑analysis programming languages and tools such as arenaflex (Python, R, reputed company), SQL, and arenaflex (Data bricks). • Demonstrated ability to translate complex analytical results into business‑friendly narratives for senior leadership. • Experience collaborating with multidisciplinary teams—including technical, product, finance, and compliance groups—to drive data‑centric solutions. • Strong knowledge of financial concepts, risk‑management frameworks, and regulatory environments. • Excellent written and verbal communication skills, with a talent for storytelling through data. • Ability to work independently while maintaining a high level of accountability and meeting deadlines. Preferred Qualifications & Additional Skills • Hands‑on experience with arenaflex (PowerBI) or similar visualization platforms. • Familiarity with arenaflex (Unix) environments and scripting for data pipelines. • Exposure to user acceptance testing (UAT) processes and agile development methodologies. • Certification in risk management (e.g., FRM, PRM) or data science (e.g., CDMP, Azure Data Scientist). • Knowledge of cloud platforms (AWS, Azure, GCP) and big‑data technologies. • Demonstrated track record of delivering measurable process improvements or cost‑savings initiatives. Core Competencies for Success • Analytical Rigor: Ability to dissect large datasets, identify trends, and build robust predictive models. • Business Acumen: Understanding of how risk insights translate into strategic decisions and operational efficiencies. • Collaboration: Strong interpersonal skills to partner effectively across functions and influence outcomes. • Communication: Clear articulation of technical concepts to non‑technical stakeholders, both in writing and verbally. • Adaptability: Comfort navigating a fast‑changing