At a Glance
- Tasks: Lead the Data Science & Analytics team in Treasury, driving data-driven growth and innovative solutions.
- Company: Remitly transforms lives with trusted financial services, connecting people globally since 2011.
- Benefits: Enjoy paid vacation, health insurance, commuter benefits, and mental health support.
- Why this job: Join a purpose-driven team impacting millions while fostering innovation and collaboration.
- Qualifications: Proven experience in leading analytics teams, strong financial analytics background, and excellent communication skills.
- Other info: This hybrid role is based in London with opportunities for global collaboration and travel.
The predicted salary is between 72000 - 100000 £ per year.
Head of Treasury Analytics & Data Science
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.
#J-18808-Ljbffr
Head of Treasury Analytics & Data Science job with Remitly, Inc. | 13043400 employer: Be-IT Ltd
Contact Detail:
Be-IT Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Treasury Analytics & Data Science job with Remitly, Inc. | 13043400
✨Tip Number 1
Familiarize yourself with Remitly's mission and values. Understanding how your experience in data science and analytics aligns with their goal of transforming lives through financial services will help you articulate your passion during discussions.
✨Tip Number 2
Highlight your leadership experience in fast-paced environments. Be prepared to discuss specific examples of how you've built and led high-performing teams, as this role emphasizes team development and collaboration.
✨Tip Number 3
Showcase your expertise in financial analytics, particularly in treasury or risk management. Prepare to discuss how you've used data-driven insights to influence strategic decisions in previous roles.
✨Tip Number 4
Network with current or former employees of Remitly. Engaging with them can provide valuable insights into the company culture and expectations, which can be beneficial during your interview process.
We think you need these skills to ace Head of Treasury Analytics & Data Science job with Remitly, Inc. | 13043400
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Head of Treasury Analytics & Data Science position. Understand the key responsibilities and required skills, and think about how your experience aligns with these.
Tailor Your CV: Customize your CV to highlight relevant experience in data science, analytics, and financial management. Emphasize any leadership roles you've held and specific projects that demonstrate your ability to drive data-driven decisions.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for transforming financial services and your vision for the role. Discuss how your background in analytics and team leadership can contribute to Remitly's mission.
Highlight Your Technical Skills: In your application, be sure to mention your expertise in data visualization, statistical analysis, and machine learning. Provide examples of how you've used these skills to achieve results in previous roles.
How to prepare for a job interview at Be-IT Ltd
✨Understand the Company Vision
Familiarize yourself with Remitly's mission to transform lives through financial services. Be prepared to discuss how your experience aligns with their vision and how you can contribute to their goals.
✨Showcase Your Leadership Experience
Highlight your previous roles in leading data science or analytics teams. Provide specific examples of how you've built high-performing teams and fostered a culture of collaboration and innovation.
✨Demonstrate Data-Driven Decision Making
Prepare to discuss instances where you've used data analytics to drive strategic decisions. Be ready to explain complex insights in a way that is digestible for leadership and how those insights impacted business outcomes.
✨Prepare for Technical Questions
Expect questions related to machine learning, statistical analysis, and data visualization. Brush up on your technical skills and be ready to discuss how you've applied these in real-world scenarios, particularly in financial analytics.