Sr. Mgr Product Analytics

London, United Kingdom

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Remitly

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Job Description:

Remitly’s vision is to transform lives with trusted financial services that transcend borders. Since 2011, we have been tirelessly delivering on our promises to people who send money around the world. Today, we are reimagining global financial services and building products that extend beyond traditional barriers to give customers access to more of the services they need, no matter where they call home. Join over 2,700 employees worldwide who are growing their careers with purpose and connection with our customers while having a positive impact on millions of people around the globe.

About the Role:

We are seeking an exceptional leader to join our team as Senior Manager, Analytics - a strategic thinker with deep analytical expertise, a passion for transforming payments, and a proven ability to drive change through strong cross-functional partnerships. In this high-impact role within the broader Product Analytics organization, you will shape the vision and lead the roadmap for the Money Movement Analytics team. Your mission - elevate the customer experience by removing friction and unlock significant cost efficiencies across our payments ecosystem. You’ll do this by harnessing data to uncover opportunities, optimizing end-to-end processes, and embedding experimentation into product strategy.

You Will:

  • Own and lead end-to-end analytics for the payments flow, ensuring data integrity, completeness, and real-time availability. You will establish robust monitoring and alerting mechanisms to proactively surface issues and maintain seamless operations at scale.

  • Harness advanced analytics, statistical modeling, and AI/ML tools to extract transformative insights. Your strategic analyses will uncover root causes, influence high-stakes decisions, and inform the executive roadmap with clarity and precision.

  • Design and deliver mission-critical data and analytics products that power intelligent decision-making throughout the payments processing lifecycle. Your work will be foundational in driving operational efficiency and customer trust.

  • Define and execute a clear vision and roadmap for your team, setting ambitious priorities that align tightly with business objectives. You will partner closely with product and engineering leaders to translate analytical insights into tangible business outcomes.

  • Foster deep cross-functional collaboration with key stakeholders across Product, Engineering, Fraud, Risk, and Customer Success. You will act as a strategic partner, ensuring data is seamlessly integrated into the fabric of decision-making.

  • Thrive in a fast-moving, global environment, bringing structure and clarity to ambiguity. You will lead through complexity, ensuring smart prioritization, effective resource management, and operational excellence across geographies.

  • Build, lead, and scale a high-impact global team of analysts and data scientists. You will provide strong technical mentorship, create a culture of excellence and experimentation, and invest in the long-term growth and development of your team.


You Have:

  • Master’s degree in a quantitative or computational discipline such as Mathematics, Statistics, Computer Science, or Engineering.

  • 10+ years of experience in Analytics, Data Science, or a related field, with a demonstrated ability to drive strategic insights and measurable business outcomes at scale.

  • 5+ years of people management experience, leading and mentoring high-performing, globally distributed teams in dynamic, fast-paced environments.

  • 5+ years of experience working with complex clickstream data and raw user signals, with a strong understanding of user behavior analytics and event-based tracking frameworks.

  • Advanced proficiency in SQL and Python, along with hands-on experience using modern analytics and data visualization tools (e.g., Tableau, Mode) and experimentation platforms (e.g., Statsig) to drive evidence-based decision making.

  • Industry experience in payments, in a technical, operational, or strategic leadership role - preferably within a payment service provider, fintech, or financial institution.

  • Proven track record of leveraging advanced analytics, machine learning, and artificial intelligence to identify growth opportunities, streamline operations, and optimize cost structures.

Our Benefits:

  • 34 days of vacation (including public holidays)

  • Group private medical insurance

  • Group pension (6% contributed) and group income protection

  • Employee Stock Purchase Plan (ESPP)

  • Mental Health & Family Forming Benefits

  • Learning and Development Benefits

We are committed to nondiscrimination across our global organization and in all of our business operations. Employment is determined based upon personal capabilities and qualifications without discrimination on the basis of race, creed, color, religion, sex, gender identification and expression, marital status, military status or status as an honorably discharge/veteran, pregnancy (including a woman's potential to get pregnant, pregnancy-related conditions, and childbearing), sexual orientation, age (40 and over), national origin, ancestry, citizenship or immigration status, physical, mental, or sensory disability (including the use of a trained dog guide or service animal), HIV/AIDS or hepatitis C status, genetic information, status as an actual or perceived victim of domestic violence, sexual assault, or stalking, or any other protected class as established by law.
 

Remitly is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Computer Science CX Data visualization Engineering FinTech Machine Learning Mathematics Python SQL Statistical modeling Statistics Tableau

Perks/benefits: Career development Equity / stock options Health care Insurance

Region: Europe
Country: United Kingdom

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