Director of Global Data Strategy – Remote Data Science Leadership for Risk Finance at arenaflex

About arenaflex

arenaflex is a world‑class financial services organization renowned for its innovative approach to risk management, credit analytics, and data‑driven decision making. With a global footprint that spans more than 100 markets, arenaflex empowers its customers to transact confidently, while safeguarding the firm’s financial health through rigorous forecasting, loss provisioning, and credit reserve strategies. The company’s culture blends cutting‑edge technology with a deep respect for analytical rigor, creating an environment where data scientists, finance professionals, and technology partners collaborate to solve some of the most complex risk challenges in the industry.

Why This Role Matters

As the Director of Global Data Strategy within the Risk Finance division, you will be at the strategic heart of arenaflex’s risk‑management ecosystem. Your leadership will shape the way the organization collects, consolidates, and interprets massive data sets, turning raw information into actionable insights that drive senior‑level decisions. This role is not just about building dashboards; it is about crafting a data‑centric culture that enables the entire enterprise to anticipate risk, allocate capital efficiently, and maintain a competitive edge in a rapidly evolving financial landscape.

Key Responsibilities

• Strategic Analytics Leadership: Lead the strategic analysis of arenaflex credit metrics, credit loss provisioning, and reserve calculations for senior leadership across Risk and Finance.
• Data Asset Ownership: Own and champion the integrity of data assets and data packages within Risk Finance, becoming the go‑to expert for tools, troubleshooting, reconciliation, and automation opportunities.
• Reporting & Dashboard Development: Design, develop, and maintain both standard and ad‑hoc reports and visualizations used by Risk Finance and enterprise partners, ensuring they deliver clear, actionable credit‑related analytical support.
• Insight Delivery: Produce and present key analyses and recommendations to senior management, translating complex data findings into concise business narratives.
• Cross‑Functional Collaboration: Build and nurture relationships across Risk Finance portfolio teams and with partners in Risk, Controllership, Technology, and other business units to drive data adoption and alignment.
• Decision‑Support Modeling: Provide decision‑support analytics with a strong focus on developing models that identify trends and opportunities within the portfolio, enabling optimized business and risk decisions.
• Automation & Process Improvement: Identify, design, and implement process enhancements and automation solutions that increase efficiency, reduce manual effort, and improve data quality.
• Mentorship & Team Development: Lead, mentor, and grow a high‑performing data science team, fostering a culture of continuous learning, curiosity, and excellence.

Essential Qualifications

• Advanced experience with at least three of the following technologies: SQL/Hive, Power BI/Tableau, Python/R, VBA, TM1.
• Demonstrated mastery of Excel and PowerPoint at an advanced level, including complex modeling, macro development, and executive‑level presentation design.
• Strong quantitative and analytical skills with the ability to work with large data sets and draw meaningful conclusions that empower business partners to make data‑driven decisions.
• Exceptional attention to detail combined with superior organizational and problem‑solving abilities.
• Proven track record of delivering results in fast‑paced environments, managing multiple priorities, and meeting tight deadlines.
• Ability to thrive on ambiguous problems, develop clarity, and produce high‑impact outcomes.
• Robust work ethic and interpersonal skills, demonstrating the capacity to build and maintain relationships across diverse stakeholder groups.
• Master’s degree in a quantitative discipline such as Mathematics, Statistics, Econometrics, or a related field.

Preferred Qualifications & Skills

• Experience with machine‑learning modeling and advanced statistical techniques.
• Background in credit risk analytics, loss provisioning, or financial forecasting within a large, global organization.
• Familiarity with cloud‑based data platforms (e.g., AWS, Azure, GCP) and modern data engineering pipelines.
• Exposure to regulatory reporting requirements and compliance frameworks in the financial services sector.
• Demonstrated ability to influence senior leadership and communicate complex technical concepts in plain language.

Core Competencies & Technical Skills

• Data Modeling & Architecture: Ability to design scalable data models that support both operational reporting and advanced analytics.
• Visualization Excellence: Expertise in creating intuitive, interactive dashboards that drive user adoption and insight discovery.
• Programming Proficiency: Strong coding skills in Python or R for data manipulation, statistical analysis, and model development.
• SQL Mastery: Advanced query writing, performance tuning, and data extraction from relational and big‑data environments.
• Automation & Scripting: Experience building automated workflows using VBA, TM1, or modern orchestration tools.
• Business Acumen: Deep understanding of credit risk concepts, financial statements, and the impact of data insights on business strategy.
• Communication & Storytelling: Ability to craft compelling narratives that translate data findings into strategic recommendations.

Career Growth & Learning Opportunities

arenaflex invests heavily in the professional development of its leaders. In this role, you will have access to:

• Executive‑level mentorship programs that pair you with senior risk and finance leaders.
• Continuous learning allowances for certifications, conferences, and advanced coursework in data science, finance, and leadership.
• Opportunities to lead cross‑functional initiatives that influence global risk strategy, positioning you as a thought leader within the organization.
• Rotational assignments across different business units, allowing you to broaden your expertise and expand your internal network.

Work Environment & Culture at arenaflex

arenaflex embraces a flexible, remote‑first work model that empowers employees to thrive wherever they are most productive. The culture is built on three pillars:

• Innovation: Teams are encouraged to experiment with new analytical techniques, tools, and methodologies, with a supportive environment for rapid prototyping.
• Collaboration: Open communication channels, regular cross‑team syncs, and a shared commitment to collective success foster a sense of belonging.
• Well‑Being: arenaflex offers holistic wellness programs that address physical, financial, and mental health, ensuring employees have the resources they need to succeed both at work and at home.

Our inclusive culture celebrates diverse perspectives, and we actively seek candidates who bring unique experiences and ideas to the table. Whether you are a seasoned data leader or an emerging talent, you will find a supportive community that values your contributions.

Compensation, Benefits & Perks

arenaflex offers a competitive total rewards package that reflects the seniority and impact of this role. While exact figures will be tailored to your experience and location, you can expect:

• A base hourly rate ranging from $55 to $85, complemented by performance‑based bonuses.
• Equity participation that aligns your success with the long‑term growth of arenaflex.
• Comprehensive health, dental, and vision coverage for you and your dependents.
• Retirement savings plans with generous company matching contributions.
• Generous paid time off, parental leave, and flexible holiday policies.
• Professional development budget, tuition reimbursement, and access to industry conferences.
• Wellness stipends, mental‑health resources, and employee assistance programs.
• Remote‑work allowances for home office setup, high‑speed internet, and coworking space access.

arenaflex also supports visa sponsorship for qualified candidates, ensuring that top talent from around the globe can join our team.

How to Apply

If you are ready to lead a global data strategy function, influence senior decision‑makers, and drive transformative risk analytics at a forward‑thinking financial services leader, we want to hear from you. Please submit your resume and a brief cover letter outlining your relevant experience and vision for the role.

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