Head of Treasury Analytics and Data Science Leader
3 weeks ago
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:
- 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
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