Head of Treasury Analytics & Data Science

Posted 6 Days Ago
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London, Greater London, England
7+ Years Experience
eCommerce • Fintech • Payments • Software • Financial Services
We provide trusted digital financial services to our customers and recipients in over 170 countries across the globe.
The Role
As the Head of Treasury Analytics & Data Science, the role involves developing analytics strategy, improving machine learning models, and building insights to guide financial risk management. Leadership includes managing a high-performing team and collaborating with various departments for data-backed decision making.
Summary Generated by Built In

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'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 & 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 & 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.

Top Skills

Analytics
Data Science
Machine Learning

What the Team is Saying

Luz
Colleen
David
Harry
The Company
HQ: Seattle, WA
2,700 Employees
Hybrid Workplace
Year Founded: 2011

What We Do

Since 2011, Remitly has been tirelessly delivering on our promises to our customers sending their hard earned money home. Today, we are incredibly proud to have served millions of customers globally wWe strive daily to meet our promise to our customers by building peace of mind into everything we do. Join over 2,700 employees across 10 offices who are growing their careers while having a positive impact on people globally.

Why Work With Us

We are united through our vision to transform lives with trusted financial services that transcend borders. We accomplish our vision by relentlessly focusing on culture via our cultural values. That starts with putting customers at the center of everything we do, and includes investing in the growth & development of our team.

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About our Teams

Remitly Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

As a global team, we are connected through our customers, and vision – not our location. Our employees can live and work with flexibility, while prioritizing in-person touchpoints to come together for moments that matter.

Typical time on-site: Flexible
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