Make your impact within a rapidly growing Fintech Company

The Portfolio Management Department orchestrates the execution and advancement of the strategic roadmap within the Risk Management division, emphasizing end-to-end ownership and harnessing data-driven insights. Collaborating seamlessly across all levels of the Risk team, including senior leadership, we spearhead transformative initiatives and meticulously oversee governance processes. As a vital member of the Portfolio team, you’ll champion the performance and analytics strategy for our fraud risk operations, foster robust partnerships with stakeholders, and champion innovation to help garner accurate and impactful insights.

In this role you will:

• Design and implement KPI aligned with the organization goals to drive operational efficiency and business growth. Fully own specific area of the risk management portfolio, ensuring comprehensive understanding and optimization of performance within the domain.
• Collaborate with cross-functional teams to align expectations and organization goal planning.
• Create high quality advanced dashboards in Tableau and other visual tools to drive insights for project sponsors, teams, and broader leadership.
• Use statistical techniques and data mining to uncover insights from extensive datasets, facilitating informed decision-making within the risk organization.
• Facilitate outcomes by analyzing historical data, creating forecasting models, and identify early signal indicators for portfolio management.
• Build and maintain SQL tables as the authoritative source of truth for the risk team, ensuring accuracy, integrity, and accessibility for cross-functional teams and streamlining reporting.

We’d love to chat if you have:

• Bachelor’s degree in Statistics, Sciences, Economics, Mathematics, Data Science, Business Analytics, or related technical field; Master’s preferred
• 3+ years of experience in risk analytics, data analytics, or data science.
• Strong analytical skills for solving complex problems, including using statistics and data science.
• Proficiency in SQL and Excel, or python including key data science libraries, with experience working with large datasets.
• Exceptional at developing and nurturing relationships with key internal stakeholders
• Ability to communicate complex results clearly to technical experts, business partners, and executives, including developing Tableau dashboards and visualizations.
• Comfortable navigating ambiguity and steering analytics projects toward clear business goals and actionable outcomes.
• Experience in working at matrixed organizations with strong cross-functional collaboration 
• Exceptional leadership and communication skills across all organizational levels, with a proactive approach to multitasking and problem-solving.
• Thrives in fast-paced startup environments, adept at adapting to changing priorities.

Preferred Qualifications:

• Experience in banking, e-commerce, or payments industries.
• Knowledge of and experience with payment technologies and ecosystems.
• Intermediate Python knowledge.
• Experience in a high-growth technology company.