1. Chris Nagao 4620 Woodbridge Way, Antioch CA 94531
Phone: 781-223-0358 Email: nagao.chris@gmail.com
Objective: Find a role that allows me to continue learning about new markets, while leveraging my Analytical skills
and market knowledge to help manage fixed income portfolios.
Summary of Experience
• 8+ years of experience in the Financial Services Industry
• Experience Developing and Leveraging both Proprietary and Industry Leading Technologies
• Broad Experience in securities, specializing in Municipal Markets
PROFESSIONAL EXPERIENCE
Charles Schwab Investment Management (CSIM), San Francisco 2012 - Present
Associate Portfolio Manager: Municipal Money (AUM: $27 billion) and Bond Funds (AUM: $1.1 billion) (SWCAX,
SWNTX)
• Cash Management: Manage all cash balances and liquidity needs for all 9 Municipal funds.
• Trade Execution: Help monitor, suggest, and execute trade opportunities whenever possible.
• New Issues: Analyze and seek good opportunities in the new issue markets across the entire yield curve.
(Bond and Note deals)
• Performance attribution of all CSIM fixed income funds.
o Mortgages: CPR analysis, pricing source differences (JJK, IDC), and tracking error.
o Corporate Bonds: Analysis of spreads and the impact of the funds versus their benchmarks.
o All Money Market Fund attribution (Taxable and Tax-Exempt) vs. their peer groups.
o Municipal and Taxable bond fund alpha vs. tracking error analysis.
o In depth analysis of different pricing sources and the impact to the performance of our funds.
(IDC, JJK)
• Report creation and automation:
o Performance Attribution
o Risk analysis and stress testing
o Market condition analysis
o Money fund reform updates and impact analysis
o Board and share holder presentations
o 2a7 compliance reports and reconciliation of data for SEC filings
• Proficient in the following portfolio management tools:
o Aladdin (Blackrock)
o Bloomberg
o Barclays Live & POINT
Charles Schwab Investment Management (CSIM), San Francisco 2006 - 2012
Senior Applications Engineer
Portfolio Management Tools Engineered
• Bond Liquidity: A tool created to monitor the liquidity of Corporate Bonds. This tool took TRACE (trade) data
and provided many metrics for the PM’s to analyze and make informed trading decisions on a day to day basis.
• Gain/Loss: Analytical tool that the Fixed Income and Equity PM’s used to look at cost-basis to figure out how
to best harvest losses for tax efficiency as well as to try and identify wash-sales.

2. Chris Nagao 4620 Woodbridge Way, Antioch CA 94531
Phone: 781-223-0358 Email: nagao.chris@gmail.com
• Credit Research: Credit analysis tool that provided the Fixed Income credit team with a system to input all of
their research that can be shared across the credit team, as well as integrating credit information and
recommendations into the other already existing PM tools. Research includes issuer specific credit
fundamental information, analyst recommendations (overweight/underweight positioning), credit analyst
Schwab ratings, summarized financial data analysis…etc.
• Real Estate Ratings: Platform used for research analysts to input extensive REIT information in order to best
identify company global market exposures and real estate types (such as malls, offices, and hospitality). Each
company is then ranked to give it an investment grade and create an investable universe based on the top
quintile of companies (REITS) along with ones that have a high 6 month momentum ranking percentage
increase.
• InvestScore (Risk Model): Risk model that does a factor analysis on certain financial data attributes of a
company and assigns an estimated risk adjusted returns metric for each company that lies in Schwab’s Global
REIT Funds’ investible universe.
Analytics Platforms Engineered
• Commercial Real Estate Model: Developed the core system that generated the SPCREX index.
• CREX Reporting: Created a suite of reports and diagnostics that was sent to S&P in order to publish the Index
every month. These reports also included extensive analytics to monitor and validate correct index numbers.
• Statistical Classifier: Contributed to the R&D of a statistical classifier (employing a “Random Forest”
algorithm). This classifier was applied to the classification of the underlying property transaction data.
Responsible for helping to test and validate various algorithms and features employed by the classifier.
• R Statistics: Heavily used R (Statistical programming language) to do analytics and R&D for new products that
could be sold to other institutions to create additional streams of revenue. Also created stress testing models
to test the index in extreme market conditions.
EDUCATION
• Berkeley Extension
o Basic Corporate Finance
o Intermediate Corporate Finance
o Portfolio Management
• University of the Pacific (2002-2006)
o Bachelors in Computer Science
References
• Can supply upon request