Job Description:

About the Role:

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.

You Will:

• As Head of Treasury Analytics & Data Science, you will be responsible for the following: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. Liquidity, FX, Credit)
  • Create and own metrics and tools that generate insights that guide strategy and daily operations
  Strategic Partnership
  • Collaborate closely within Treasury to drive priorities and build data-backed conviction
  • Forge strong partnerships across product, engineering, and operating teams
  • Identify opportunities to leverage advanced analytics for process optimization and automation across our business
  Leadership and Team Development
  • Build and lead a high-performing team of 3-6 analysts
  • Foster a culture of collaboration, innovation, and continuous learning
  • Ensure rigorous and timely delivery of analytical projects

You Have:

• 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
• Ability to translate complex insights into actionable recommendations
• Expertise in data visualization, statistical analysis, and machine learning
• Track record of driving data-driven decision making at a strategic level
• Ability to thrive in an autonomous, high-growth environment
• Educational background in a quantitative field such as Mathematics, Statistics, Economics, Computer Science, Finance or equivalent

Our Benefits:

• Paid Vacation Days
• Health insurance
• Commuter benefit
• Employee Stock Purchase Plan (ESPP)
• Mental Health & Family Forming Benefits
• Continuing education and corridor travel 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.