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RESUME

Resume
Professional ​
info​​

I help clients develop both analytics strategies, platforms & products. My career has been spent primarily in large enterprise environments where I have straddle detailed technical delivery and large corporate change.

Work​
experience​
COO, Head of Analytics
Wutch - San Francisco

2021 - Present

Wutch is a seed level start up and social media overlay on streaming services - Netflix, Hulu, HBO Max etc -  and other content providers, built to enable show endorsements and surface show discovery and recommendations based on your network of friends and connections. 

 

  • Head of analytics leading a team to build the underlying application algorithm suite - recommendation models, user correlation, user commentary / NLP analytics etc - and model CI/CD pipeline, in collaboration with technology team. 

  • Operations lead managing across the executive team to define customer lifecycle, product roadmap and monetization model, in coordination with marketing strategy. Lead and manager of firm financial, operational and application performance analysis.

  • Co-lead of funding and business development discussions

Senior Director, Data & Analytics
PwC - New York, San Francisco

​2015 - 2020

​This role was​ both a product development and execution as well as external client advisory role. Areas of focus were data, technology & analytics within Risk & Financial Management. Primary client sales interaction would be CFO, CRO and other department heads. Product development and implementations of note include:

  • Large corporate NLP sentiment analysis engine leveraging Google Cloud Platform. This was both integrated into a client's proprietary portfolio management processes as well as built out as a SAAS offering.

  • Large corporate natural language generation (NLG) integration for automated quarterly credit risk reporting

  • Regulatory obligation classification using LSTM and internal policy correlation analysis using similarity models.

  • Anti-money laundering (AML) risk decision engine using log odds and tuned using ordinal logistic regression

  • Early warning predictive credit risk engine leveraging proprietary client behavioral as well as financial performance data.

Director, Strategic Projects & Analytics
Bank of America Merrill Lynch - New York

2011 - 2015

​This was an internal advisory and delivery role reporting to the bank CFO. I was head of strategic projects within Global Banking & Markets, leading enterprise engagements to define, develop & implement the Finance product roadmap with a focus on complex product valuations. Product development and implementations of note include:

  • Led multi-team, global process analysis, analyzing opportunities for automation & process measurement & performance metrics

  • Product management of multiple automated & interactive reporting & data visualization solutions for pricing discovery & balance sheet stratification toolsets, covering the entire ~$2T balance sheet.

Executive Director, Product & Project Management

UBS - London, Zurich, New York

​2000 - 2011

Multiple roles from business analyst through to regional head of product for CFO. Product development and implementations of note include:

  • Design lead for Valuations Control reporting & BI. Managing six streams, & leading a team of fifteen analysts, with annual IT spend of US$10mm in 2010.

  • Product Control data strategy lead within Group Data Program.

  • Project lead for UBS Hedge Fund (DRCM). Led cross enterprise working groups including Trading, Risk, Legal, Tax, Finance & Regulatory reporting.

  • Lead analyst & team lead on the design & implementation of a global credit derivative risk management system.

Contractor / traveler

UK, Europe, Brazil

​1996 - 2000

  • Snowboarding.

  • Beaches, DJ

  • Contract roles – UBS, JPM (London).

General skills & ethos
  • Strong first principles thinking

  • Respect for the individual

  • Team builder, leader & motivator

  • Vision / context oriented

Languages / platforms
  • Python

  • R (rusty though / don't use much)

  • GCP

  • AWS

  • Keras deep learning library

  • All the usual MS and Apple office suites

Education
La Trobe University, Australia
Economics Department, Bachelor of Economics
Columbia University, United States
Engineering Graduate School, Certificate in Data Science
Udacity
Advanced NLP Nanodegree
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