Oliver Cox
SChief Data Officer at Crest Analytics · Fraud detection
- Crest Analytics
- Vancouver, BC · PT (UTC-8)
- 14+ years experience
- Western University
- English, Mandarin
Messaging unavailable
Overview
I've spent 26 years on fraud detection - first at Wealthsimple, now at Crest Analytics. Built the trust & safety models now used in 4 product decisions a quarter. Replaced 84 hand-built dashboards with one metrics layer people trust. Most at home with rules engines and Python.
Good reasons to reach out
- Speaking or podcast invitations
Please don't message about
- SEO and link-building offers
- Survey or panel invitations
Answers in batches on Fridays
Skills
PythonSQLLightGBMgraph analyticsrules enginesanomaly detection
Experience
- Chief Data OfficerDec 2024 - PresentCrest Analytics · 1 yr 10 mo · Full-time · Vancouver, BC
- Wrote the metric definitions the leadership team reviews every week.
- Cut false positives on payment blocks by 37%.
- Caught $9 million of fraud in the first year of the new models.
- Data AnalystJun 2023 - Nov 2024Air Canada · 1 yr 5 mo · Full-time · Vancouver, BC
- Wrote the metric definitions the leadership team reviews every week.
- Data ScientistJan 2020 - Jun 2023Cohere · 3 yr 5 mo · Full-time · Vancouver, BC
- Cut false positives on payment blocks by 35%.
- Wrote the metric definitions the leadership team reviews every week.
- Data ScientistDec 2016 - Jan 2020Deloitte · 3 yr 1 mo · Full-time · Vancouver, BC
- Replaced 22 hand-built dashboards with one metrics layer people trust.
- Staff Data ScientistNov 2012 - Aug 2016Wealthsimple · 3 yr 9 mo · Full-time · Vancouver, BC
- Wrote the metric definitions the leadership team reviews every week.
Projects
Conference talk: lessons from trust & safety
2024What went wrong and what worked while scaling fraud detection.
Fraud detection benchmark
2022Reproducible benchmarks comparing graph analytics and rules engines on real workloads.
References
No references yet.
Education
- Western UniversityHBA, Mathematics1995 - 1999
Details
Compensation expectations
What they are targeting for their next role.
Visible to connections
Direct contact details
Direct email and a scheduling link.
Visible to connections