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Durham, NC, USA
Embarking on a deep, predictive modeling odyssey since 2002, Aaron Reabow has leveraged the power of big data and customer analytics to forge impactful strategies within the banking and capital markets sector at Deloitte. A senior manager with an intimate grasp of campaign analytics and a zealous pursuit for unearthed insights, Aaron’s journey weaves through the realms of machine learning and LLMs, consistently staying ahead of technological evolutions. Motivated by a genuine ardor for data's boundless potential, his contributions illuminate paths for data-driven decision-making, propelling organizations ahead of the curve.
Problem:
A top-tier wealth manager was allocating marketing spend and relationship manager capacity based on current AUM rather than future client value. This approach under-invested in high-growth segments while over-servicing mature, low-growth clients. The firm lacked a unified view of customer profitability across products.
Action:
I led a team that designed and deployed a Customer Lifetime Value…
Problem:
A major financial institution was running marketing campaigns with minimal analytical rigor—campaigns were designed based on intuition rather than customer behavior, leading to poor conversion rates and channel waste. There was no systematic approach to test, learn, and optimize campaign performance.
Action:
I built an optimization engine that integrated customer propensity modeling, channel…
Problem:
Africa's largest bank needed to build wealth and insurance data science capability from fragmented analytics across business units. Leadership required assessment and roadmap to build models across customer lifespan: driving sales volumes, reducing churn, and moving customers up the value curve from basic banking to wealth/insurance products.
Action:
Assessed existing analytics capabilities …
Problem:
Leading wealth manager needed to scale analytics capabilities for digital transformation but faced high US costs and talent constraints with 8-person team overwhelmed by demand. Leadership required assessment of current team capabilities, technology platform evaluation, and recommendations for cost-effective scaling strategy to support growing analytics needs.
Action:
Conducted assessment of…
Problem:
Fragmented customer data across 20+ systems prevented unified view for personalization and retention. Manual processes created inconsistent definitions and delayed insights.
Action:
Led discovery to identify and prioritize data sources for Customer360 based on business impact: transactional first, then behavioral/interaction, then external enrichment. Collaborated on Databricks medallion arc…
Banking & Capital Markets Data Science Senior Manager
Jun 2021 - Present
Deloitte is a leading global provider of audit and assurance, consulting, financial advisory, risk advisory, tax, and related services.
Executive Head of Data Science for wealth and insurance
Sep 2018 - Jun 2021
Head Of Analytics
Jan 2017 - Jun 2021
Head: Big Data and new technology
Nov 2015 - Jun 2021
CEO
Jan 2015 - Jul 2019
Senior Manager
Nov 2011 - Jan 2015
Project manager/Stream lead
Jan 2011 - Nov 2011
Senior Principle
Aug 2006 - Aug 2011
IQ Business Group, based in South Africa, specializes in management consulting across various sectors, fostering business growth through innovative solutions.
Engineering Manager
Jan 2003 - Aug 2006