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We are looking for a Analysis Team Lead to join our team!
As an Analysis TL, you will lead a team of CS analysts and product analysts. The team is in charge of analyzing our products existing and newly released features, works closely with our product squads and takes part in the product design, implementation and testing. In addition, the team supports the CS departments business operations. It plays a major role in understanding and nurturing our growing customer base, by exploring the adoption of our product by our users, building usage metrics, and exploring ways to increase customer engagement and prevent churn. As a TL, you will be the professional guide for the team, manage their tasks and priorities, and take part in the more complex analytic projects. You will share the team reports and business insights with key business stakeholders in the company, and become the trusted data advisor of the Product and CS departments.
Responsibilities
Lead a multidisciplinary team of exceptionally talented analysts.
Lead the design and implementation of data models, prediction models, and KPIs working closely with the BI dev team.
Oversee the building and maintenance of reports, dashboards, and metrics
Drive data research and exploration to deliver actionable insights that support business performance.
Identify areas for improvement and make recommendations for new opportunities for growth
Develop strong partnerships with product and CS leaders to achieve business objectives and become their trusted data advisor.

Required Director, Analytics Risk & Fraud
Description
We are one of the most popular and downloaded apps in the world. Working with us provides a unique opportunity to influence hundreds of millions of our users and to be part of the journey that makes us a super-app. Our mission is to make peoples lives easier by enabling meaningful connections, from precious moments with family and friends, through managing business relationships to pursuing their passions.
As a Director in Analytics, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models to solve real-world problems and apply them to tasks such as identifying bad actors, preventing fraud, building anomaly detection models, and analytics at a high scale.
As a senior manager, you are expected to create an alignment across different divisions, focus on strategic business KPIs and lead other managers to collaborate and perform shared goals. Successful outcomes in this role will significantly impact the business.
Responsibilities:
Lead the development and optimization of spam and fraud detection systems using machine learning and rule-based engines.
Work closely with management, product, engineering, compliance, legal, and security teams to align, present, and implement end-to-end fraud solutions.
Ensure adherence to KYC, AML, and other financial regulations while managing fraud risks.
Leverage the extensive data received from our application to enhance model performance and accuracy.