Jingw72 /

PROFESSIONAL PORTFOLIO

Research, data & practical tools

Jingw72.

Quantitative Research | Financial Data Science | Data Engineering

Quantitative researcher and data professional with a multidisciplinary background in financial research, blockchain analytics, data engineering, and financial risk modeling. Experienced in applying quantitative methods and data-driven approaches to analyze complex financial datasets, develop analytical models, and deliver actionable insights.

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Research interests & career direction

  • 01Quantitative Research
  • 02Financial Data Science
  • 03Data Engineering
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Quantitative financial research

Equity Alpha research, crypto strategies & backtesting

Data & analytics leadership

Led a 3–5 member data team in a stablecoin ecosystem

Financial risk modeling

Soft-liquidation model development & simulation validation

MSc Physics

National Taiwan University · Mathematical optimization

More about my background

My professional experience spans quantitative financial research, cryptocurrency markets, blockchain data engineering, and financial risk analytics.

I have developed and backtested trading strategies, contributed to quantitative equity research, and led a data team responsible for analytics infrastructure, financial monitoring, risk modeling, and data-driven product decisions within a stablecoin ecosystem.

Beyond my professional roles, I independently explore applications of machine learning, financial risk modeling, blockchain analytics, and emerging technologies.

My current projects include financial fraud detection, Solana investment research, DeFi market monitoring, and exploratory research at the intersection of quantum computing and finance.

I am particularly interested in opportunities where quantitative reasoning, data analyzing, and financial domain knowledge can be combined to solve challenging real-world problems.

I am a quantitative researcher and data professional with an MSc in Physics from National Taiwan University, where my academic research focused on quantum optimization.

01

Experience

The work behind the perspective.

Ongoing

Independent Research & Product Development

Independent work

Independently developing research-driven software tools and analytical applications across financial machine learning, blockchain analytics, quantitative finance, and emerging technologies.

  • Current work includes fraud detection experiments, Solana investment research, DeFi market monitoring, protocol risk assessment, and exploratory quantum finance research.
  • Focus on data quality, quantitative reasoning, and translating research ideas into usable analytical tools.
Part-time · approx. 5–6 years

Part-time Quantitative Research Consultant

WorldQuant BRAIN

Conducted part-time quantitative equity research through WorldQuant BRAIN, exploring systematic investment signals across Taiwanese, European, and US equity markets.

  • Developed and submitted Alpha strategies using quantitative research and statistical evaluation methods.
  • Built experience in systematic signal research, financial data analysis, and iterative strategy evaluation.
Approx. 1 year

Crypto Financial Analyst / Quantitative Research

Cryptocurrency / Financial Research

Conducted quantitative research and on-chain financial analysis within cryptocurrency markets, with a focus on systematic strategy development and financial risk.

  • Developed and backtested a risk-focused trading strategy, combining financial market analysis with quantitative modeling and systematic evaluation.
  • Contributed to strategy deployment and investigated approaches to managing financial risk in volatile digital asset markets.
Approx. 1 year

Data Team Lead

Stablecoin / Decentralized Finance

Led a data team of 3–5 members responsible for data engineering, financial analytics, risk modeling, and data-driven decision support within a stablecoin and DeFi ecosystem.

  • Developed blockchain data pipelines and analytics infrastructure using Python, Apache Spark, MySQL, on-chain data tools, APIs, and GCP.
  • Built customized dashboards to monitor protocol activity, user behavior, collateral positions, lending, liquidations, and revenue.
  • Automated customized reporting through self-service workflows for business development teams, and supported product decisions and investor-facing reporting.
  • Developed and validated a soft-liquidation risk model through simulation to investigate unnecessary liquidations during temporary cryptocurrency price shocks.
02

Selected work

Questions explored. Ideas made tangible.

01Professional project · modeling & simulation

Soft Liquidation Risk Modeling

Developed and validated a soft-liquidation risk model designed to reduce unnecessary liquidations caused by temporary cryptocurrency price shocks.

Explored a recovery buffer before certain liquidation outcomes become final, using financial risk modeling and simulation-based validation.

Model development and simulation validation only; production deployment and quantified risk reduction are not claimed. Proprietary parameters are not disclosed.

QuantFinancial Risk

Financial risk modeling / Simulation / DeFi lending mechanisms

02In development

Solana Investment Research Platform

Developing a Solana investment research platform around a structured framework of 18 financial and operational metrics.

The initial website framework is developed. Work continues on protocol-level data collection, metric implementation, data validation, and recurring analytical reports.

Metric coverage and protocol validation remain ongoing; the platform is not presented as production-ready or as providing profitable recommendations.

Blockchain AnalyticsData AnalysisEngineering

Investment research / Data engineering / Data visualization

03Research prototype

AML & Credit Fraud Detection

Explored machine learning approaches to anti-money laundering and credit fraud detection using available datasets and established modeling techniques.

Investigated data preparation, financial risk classification, model behavior, and evaluation challenges in financial crime detection workflows.

Research prototype, without claims of original algorithms or production deployment. Dataset details, evaluation methods, and model metrics are not yet published.

Financial RiskMachine LearningData Analysis

Financial machine learning / Fraud detection / Model evaluation

04Independent project · status to confirm

DeFi Market Monitoring Dashboard

Developing analytical dashboards to monitor decentralized finance market activity and support data-driven financial analysis.

Exploring automated data collection, organization, and visualization to improve access to blockchain-related financial information.

Current implementation and deployment status remain to be confirmed; real-time availability, network coverage, and refresh frequency are not claimed.

Blockchain AnalyticsData AnalysisEngineering

Data engineering / Financial analytics / Dashboard development

05Independent project · status to confirm

Solana Protocol Trust Inspector

Developing an educational and analytical tool for understanding trust-related indicators and potential risks within the Solana ecosystem.

Organizing protocol information into a structured approach to blockchain research and risk assessment, to support more informed user decisions.

Current implementation status remains to be confirmed. This is not a security audit, scam-detection guarantee, or certification of protocol safety.

Blockchain AnalyticsFinancial RiskPersonal Projects

Blockchain research / Risk assessment / Product development

03

Research

Ongoing questions, clearly scoped.

Research interests

Quantitative Finance

Systematic trading, quantitative financial modeling, optimization, financial risk analysis, and statistical approaches to investment research.

Future notes and non-confidential experiments will be linked when available. Proprietary Alpha strategies remain private.

Related project

Ongoing exploration

Financial Machine Learning

Exploring machine learning applications in financial risk assessment, fraud detection, and data-driven financial decision-making.

Current experiments use established modeling approaches; no unsupported model-performance claims are made.

Related project

Exploratory research · in progress

Quantum Finance

Investigating the relevance of quantum computing and quantum-inspired methods to quantitative financial modeling.

Preliminary research; no publication-ready results, quantum advantage, or computational speedups are claimed.

04

Methods & tools

A toolkit, grounded in practice.

Programming & engineering

  • Python · SQL · MySQL
  • Apache Spark · GCP
  • Git · GitHub Actions

Quantitative research

  • Mathematical optimization
  • Quantitative financial analysis · statistical modeling
  • Backtesting · financial risk modeling · simulation

Data science & machine learning

  • Data analysis · machine learning
  • Deep learning · model evaluation
  • Data visualization

Blockchain analytics

  • Sentio · Dune Analytics
  • Blockchain RPC · APIs · indexing
  • On-chain data analysis

Product & leadership

  • Data product development · dashboard design
  • Reporting automation · decision support
  • Team leadership · cross-functional collaboration
05

Education

Foundations for the next question.

National Taiwan University

Master of Science in Physics

Graduate research focused on mathematical optimization, with a foundation in linear algebra, calculus, and mathematical and computational modeling. Complemented by self-directed study in probability, statistics, and machine learning.

06Continue the conversation.

Let’s connect.

Find my public profile and repositories on GitHub.

Visit GitHub profile