Head of Analytical Data Science

6 days ago

London, United Kingdom Remitly, Inc. Full time

Head of Treasury Analytics & Data Science
Remitly's vision is to transform lives with trusted financial services that transcend borders. 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.
We're seeking an experienced leader to head our Data Science & Analytics team, within our Treasury department. As the Head of Treasury Data Science & Analytics, you'll play a pivotal role in driving data-driven growth decisions and innovative solutions that align with our mission. The position is hybrid onsite in our London office, with a global team and regular travel to Seattle.
Data Strategy and Innovation
Develop and implement the overall analytics strategy for the Treasury department
Break down complex data and analytics concepts into digestible information for leadership, product, and the wider business to increase our teams' impact
Advance the existing machine learning models to improve our predictive capabilities focused on our FX Trading, partner pre-funding, and cash management
Build the analytics and insights needed to support the financial risk management framework of the company (e.g. Collaborate closely within Treasury to drive priorities and build data-backed conviction
Ensure rigorous and timely delivery of analytical projects

Proven experience leading data science or analytics teams in a fast-paced environment
Strong background in financial analytics, preferably in treasury or risk management
Experience in building reporting for senior leaders combined with excellent communication skills
Expertise in data visualization, statistical analysis, and machine learning
Track record of driving data-driven decision making at a strategic level
Educational background in a quantitative field such as Mathematics, Statistics, Economics, Computer Science, Finance or equivalent
Paid Vacation Days
Health insurance
Commuter benefit
Employee Stock Purchase Plan (ESPP)
Continuing education and corridor travel benefits
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