Job Description Your Mission You will be a part of a joint team of machine learning engineers and data scientists building and evolving ML models, real time systems, reports, and deep analysis of fraud detection and mitigation activities to protect merchants, their customers, and Teya from fraudulent activities.
Working with advanced predictive models and scalable software systems, build and grow intelligent solutions to reduce all kinds of risk and allow Teya to focus on effectively serving our merchants.
Key individual contributor for a diverse and innovative team to create deep understanding of big data inputs and contribute to continuous improvement while addressing fast-moving risks and opportunities.
Working with senior product, business, and engineering leaders to analyze data, identify opportunities for building new models, build and maintain real time dashboards, and deliver insights through in-depth reports.
Collaborate with your peers across Teya to share insights and enable real-time decision making wherever opportunity arises.
As a Senior Data Analyst on the Fraud Prevention team you will: Lead with data to design, develop, and implement solutions for Fraud Prevention; Collect, store, and analyse large data sets; Integrate data into business processes and systems; Write complex SQL queries and scripts; Collaborate with cross-functional teams, including data scientists, ML engineers, product managers, and business analysts; Build and maintain dashboards and reports in a variety of environments including Snowflake and Tableau; Effectively manage business stakeholders and drive initiatives to promote actionable insights, identifying and prioritising requirements and owning a roadmap of deliverables; Analyse external customer and internal business data working with teams across different countries to drive optimisation of our products; Build predictive models to accurately forecast our numbers and evaluate against the budget and actuals.
Promote a data-driven culture across the business Qualifications Your Story Basic Requirements 5+ years of professional data analyst experience in a technical domain Highly proficient in SQL and Tableau (or equivalent BI tool) Good analytical and problem-solving skills Self-starter, comfortable in a fast-paced environment and able to adapt to changing circumstances quickly Capable of translating complex data into understandable conclusions and recommendations Ability to think creatively and insightfully about business problems Good written and verbal communication skills Preferred Requirements Experience with Machine Learning and Python (time-series analysis, forecasting) Familiarity with AWS environment (SageMaker, S3, Redshift) Familiarity with Snowflake Bachelor's degree in mathematics, statistics, or relevant experience in related field Additional Information The Perks We trust you, so we offer flexible working hours, as long it suits both you and your team; Health Insurance; Meal Allowance; 25 days of Annual leave (+ Bank holidays); Public Transportation Card; Frequent team events & activities in the office and outside; Office snacks every day; Friendly, comfortable and informal office environment.