Data Science Manager

Descrizione

Data Science Manager

Funding Circle’s Customer Analytics group is looking for a highly experienced Data Science Leader to work on high impact projects within a dynamic team.  This group has a global footprint that is responsible for supporting Funding Circle businesses across geographies with analytical inputs across variety of risk and business functional areas.

At Funding Circle, Data Scientists are quantitative analysts who can extract meaningful business insights from customer data, and leverage predictive models to create strategies that will optimize business performance. They support Risk management, Marketing, Capital markets, Operations and Finance teams. This is a strategic role that sits at the heart of value creation through leading edge analytics turning data into long term competitive advantage.  

As a Data Science Manager you will...

• Drive the evolution of best in class Channel Analytics by:
• Working with Tech & Data teams to define requirements and review solution builds
• Applying insights from customer response data to build response and targeting models
• Building Attribution Models and optimising offline and online Marketing Mix to drive growth
• Developing and applying real time links between spend across channels and response patterns
• Working with Tech and Operational teams to ensure identified wins are delivered
• Managing and mentoring direct and indirect reports to deliver significant increases in productivity

• Deliver cutting edge models using the latest techniques and upskill the team: Use advanced statistical analysis to design testing and predictive models whilst creating and improving on best practices to be used across the Funding Circle analytics community

• Drive thought leadership across the business: Recommend optimal business strategies based on historical performance, predictive analytics and scenario analysis

• Build global frameworks that are scalable across markets and help to drive business outcomes & portfolio performance

• Work closely with partner teams across business and risk to ensure analytical outputs meet stakeholder expectations

• Communicate effectively analytical outcomes to wide variety of internal and external constituents including senior stakeholders

• Up to 20% travel

You’ve been there and done this:

• Demonstrable strong Machine learning/AI experience along with proficiency in analytical tools like R and Python, Excel VBA, Tableau, SAS/SQL

• Demonstrates strong knowledge of data architecture, modelling techniques, consumer behaviour patterns and the key drivers of marketing or credit performance optimization

• Has exceptional analytical skills with an advanced degree in a quantitative field like mathematics, physics, computer science, statistics, economics, econometrics etc

• Has 7+ years of experience in a channel or product analytics role in a major digital or financial services organization with demonstrated track record of data science delivery in channel analytics, marketing analytics and/or risk analytics