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$TYLER●CFA L1 · MSFA
CSULB · MSFA JPMORGAN CHASE ASSET MGMT

Thuy (Tyler) Hoang.
Finance, modeled.

Finance professional, CFA Level I candidate, and MS Financial Analytics candidate. Building an edge in valuation, market structure, and investor-focused analytics — with code that holds up to scrutiny.

RESEARCH_NOTE / 2026-Q2● ACTIVE
TICKER$TYLER
SECTORAsset Management
STATUSSEEKING · AM / RESEARCH
CREDENTIALSCFA L1 · SIE
PROGRAMMSFA · CSULB · Aug'26
GPAs3.75 / 3.75 / 4.00
UPDATED 2026-06-16v2.1
00 /

About

background.md

> Finance professional pursuing my Master of Science in Financial Analytics at California State University, Long Beach, with an expected graduation of August 2026. CFA Level I candidate with a strong interest in asset management, investment research, and market-driven decision-making.

My background combines client-facing banking and branch operations at JPMorgan Chase — internal controls, cash management, operational compliance — with quantitative financial modeling and academic work in fixed income, derivatives pricing, machine learning, and valuation.

I bring analytical depth and an execution mindset — comfortable with financial statements, market data, and the tools that make research faster. FINRA SIE certified. Fluent in English and Vietnamese.

CFA · Level I
CAND'26
CSULB GPA
3.75
CSUF GPA
3.75
OCC GPA
4.00
Certifications
SIE
Languages
EN · VI
01 /

Prism — Featured Project

spring_2026
PRSM

Investor-focused financial analysis dashboard

SPRING 2026 · v0.4 · LIVE

Compresses the research workflow into one place: live market data, financial statements, self-computed valuation ratios, comparable-company analysis, options activity, insider trades, SEC filings, and news — from initial idea to underwriting in one interface.

The valuation layer handles edge cases explicitly: non-meaningful P/E, negative free cash flow in DCF, and accounting-driven ratio distortions. Output is usable in real analysis, not just visually impressive.

01

Research Workflow

Move from idea generation to underwriting without bouncing across five tools.

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02

Valuation Engine

DCF, EV/EBITDA, and comps with explicit handling for negative earnings, EBITDA, cash flow edge cases.

→
03

Fundamentals

Financial statements, key ratios, historical views to spot business quality and trend changes.

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04

Options & Positioning

Options flow, volatility context, insider activity — fundamental story vs. positioning.

→
05

Filings & Catalysts

SEC filings and company disclosures, with direct EDGAR access for primary-source review.

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06

Market Context

Indices, rates, volatility, commodities, and news for the macro backdrop.

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pythonstreamlityfinancepandasplotlysec-edgar-apinginxsystemd
02 /

Other Projects

academic_work.log
01

Boeing Credit & Financial Statement Analysis

FIXED INCOME · CREDIT · FALL 2025

Analyzed Boeing's debt maturity schedule, leverage ratios, and interest coverage using Bloomberg, quantifying the credit risk premium embedded in bond yields relative to Treasuries. Forward-looking narrative on capital structure and refinancing risk.

BLOOMBERGCREDIT
02

WMT Stock Price Prediction with LSTM

MACHINE LEARNING · TIME SERIES · SPRING 2026

Built a Long Short-Term Memory (LSTM) neural network in Python to forecast Walmart (WMT) stock prices using historical market data. Evaluated with RMSE; visualized predicted vs. actual to assess accuracy and trend-following behavior.

PYTHONLSTM
03

Monte Carlo Simulation — Derivatives Pricing

DERIVATIVES · STOCHASTIC CALCULUS · SPRING 2026

Modeled asset price dynamics using Geometric Brownian Motion (GBM) to simulate thousands of price paths and estimate option payoffs. Validated outcomes under risk-neutral pricing.

MONTE CARLOGBM
04

Quantitative Company Analysis

VALUATION · FINANCIAL MODELING · FALL 2025

Developed advanced spreadsheet models for financial statement analysis, ratio benchmarking, and cash flow forecasting. Produced DCF valuation scenarios under base, optimistic, and downside cases.

DCFEXCEL
03 /

Skills

stack.json

// programming & tools

  • python ●●●●●
  • pandas / numpy ●●●●●
  • scikit-learn ●●●●○
  • tensorflow / keras ●●●○○
  • statsmodels ●●●○○
  • jupyter · linux · git ●●●●○

// finance & analysis

  • advanced excel ●●●●●
  • bloomberg terminal ●●●●●
  • dcf / comps ●●●●●
  • fixed income ●●●●○
  • derivatives ●●●○○
  • credit analysis ●●●●○

// quantitative methods

  • ols regression ●●●●●
  • factor models ●●●○○
  • lstm / gru ●●●○○
  • monte carlo ●●●●○
  • stochastic calculus ●●●○○
  • capm / beta ●●●●○
04 /

Resume

credentials.log

M.S. Financial Analytics

CSULB · California State University, Long Beach
Expected Aug 2026

Coursework in fixed income, derivatives pricing, machine learning, and valuation.

B.A. Business Administration / Finance

CSUF · California State University, Fullerton
Completed

Concentration in finance with quantitative methods.

Associate Banker

JPMorgan Chase
Current

Client-facing banking and branch operations: internal controls, cash management, operational compliance.

Certifications & Tools

CFA® L1 Candidate · FINRA SIE
Python · Advanced Excel · Bloomberg

Self-computed valuation, factor models, and quant research tooling.

05 /

Contact

send_signal.sh

Actively pursuing opportunities in asset management, investment research, and quantitative finance. If you're looking for someone who combines market judgment, analytical rigor, and strong execution, let's talk.