Phillip Kyaw
Data AnalystAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Analytics & Risk Modeling Leader | AI Automation & Prompt Engineering | Enterprise Data Strategy | SQL • Power BI • Tableau
Senior data and risk analytics leader with 15+ years of experience transforming complex datasets into enterprise-level decision frameworks. I specialize in building predictive risk models, automating analytical workflows, and leading high-performing analyst teams to deliver measurable business impact. I have designed and implemented network-wide risk models leveraged by executive leadership to assess exposure, prioritize mitigation, and drive strategic decisions. My work integrates statistical modeling, SQL, data architecture, Power BI visualization, and AI-driven automation to streamline reporting and increase forecasting accuracy. Beyond technical execution, I focus on systems thinking — building scalable analytical infrastructure that reduces manual processes and elevates insight generation. Areas of expertise include enterprise risk modeling, financial analysis, AI-enabled process automation, data strategy, and cross-functional leadership.
School of Oriental and African Studies, University of London
MSc., Finance and Development
January 1, 2010 – January 1, 2011
Chartered Financial Analyst Institute
CFA - Level 1, Financial Analysis
January 1, 2009 – January 1, 2010
Lawrence University
BA, Economics and Mathematics
January 1, 2004 – January 1, 2008
Pre Collegiate Program
Diploma, Liberal Arts
January 1, 2003 – January 1, 2004
PwC
Manager - Data Analytics and Modeling
January 1, 2020 – Present
New York, New York, United States
PwC
Senior Associate - Data Analytics and Modeling
January 1, 2019 – December 1, 2019
New York, New York, United States
PwC
Enterprise Data Modeler | Data Analytics | Tableau Developer
May 1, 2018 – December 1, 2018
New York, New York, United States
MUFG
Data Analytics and Machine Learning Project Manager
August 1, 2016 – April 1, 2018
Jersey City, NJ
Best Buy
VBA Developer
July 1, 2016 – December 1, 2018
Steelgate Intelligence Systems
Senior Data Analyst
March 1, 2015 – July 1, 2016
Greater New York City Area
New York Life Insurance Company
Senior Associate - Data Analytics and Financial Modeling
October 1, 2014 – March 1, 2015
Greater New York City Area
HSBC
Business Data Analyst/VBA Developer
July 1, 2014 – October 1, 2014
New York, NY
JPMorgan Chase
Business Data Analyst/VBA Developer
December 1, 2013 – July 1, 2014
Greater New York City Area
Nature Publishing Group
Senior Financial Analyst
April 1, 2013 – December 1, 2013
New York, NY
Standard Chartered Bank
Project Analyst
February 1, 2013 – April 1, 2013
New York, NY
USCJ
Financial Analyst
November 1, 2012 – July 1, 2013
New York, NY
NetCom Learning
Business/Financial Analyst
January 1, 2012 – September 1, 2012
New York NY
Africa Rice Center
Intern - Economics Research Analyst
June 1, 2011 – December 1, 2011
Cotonou, Benin
School of Oriental and African Studies (SOAS) at London University
Masters Student
September 1, 2010 – December 1, 2011
NetCom Learning
Business Analyst
January 1, 2009 – September 1, 2010
New York, NY
Lawrence University
Student
January 1, 2004 – January 1, 2008
Digital Acumen
PwC
June 24, 2026 – Present
Human-Centered Design
PwC
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse professional background, working in various financial institutions, consulting, and retail sectors. This breadth of experience suggests an ability to adapt to different organizational cultures and work environments. The long tenure at PwC (including contract, senior associate, and manager roles) indicates a potential for loyalty and growth within an organization. The academic background in economics and finance, combined with practical data analysis roles, aligns well with data-driven cultures. However, without specific information on team collaboration or values, a comprehensive cultural fit assessment is challenging.
Soft Skills & Operational Fit
The candidate's career progression to managerial roles at PwC suggests leadership and project management capabilities. Experience across multiple companies and roles indicates adaptability and a broad understanding of business contexts. The descriptions of managing projects and presenting to C-level management imply strong communication and stakeholder management skills. However, without specific project details or behavioral assessment data, a deeper analysis of soft skills and operational fit is limited.