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Portrait of Ray Zhang

SHANGHAI · 2026

Quantitative Research × Backend & AI

RAY
ZHANG

Turning data into testable systems.

Mathematics and Computer Science undergraduate working across quantitative research, full-stack products and AI delivery—with solid engineering fundamentals and strong visual judgment.

数学与计算机科学本科生,关注量化研究、全栈产品与 AI 交付;工程基本功与视觉判断并重。 Explore
TOP 30%Paris Quant Challenge
1.55Out-of-sample Sharpe
48HProduct sprint

01 / PROFILE

A research toolkit
built for evidence.

My focus is the complete loop: reliable data, measurable hypotheses, clean engineering, chronological validation and clear risk communication.

关注从可靠数据、可度量假设、工程实现,到时序验证与风险表达的完整闭环。
01

Market Data

Returns, volatility, volume, momentum, rolling statistics and data-quality checks.

市场数据、滚动统计与数据质量检查
02

Research Design

Hypothesis definition, feature construction, chronological splits and rolling validation.

假设定义、特征构建与时序验证
03

Risk Analytics

Sharpe ratio, drawdown, turnover, trading costs, exposure and interpretable reporting.

收益风险、交易成本与可解释报告
04
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Quant Engineering

Python, Pandas, Polars, modular experiments, Git collaboration and AI-assisted analysis.

Python 数据流程、模块化实验与协作

02 / BACKEND & AI ENGINEERING

From data pipelines
to product services.

My backend practice grew from data-intensive research and product delivery: cleaning high-frequency datasets, building modular Python workflows and coordinating APIs under deadline.

后端实践来自数据密集型研究与产品交付:高频数据清洗、模块化 Python 流程,以及限时环境中的 API 联调。
01INGESTraw market / product data
02VALIDATEschema / missing / outlier
03PROCESSPython / modular logic
04SERVEAPI / interface / output
PRACTICEDB—01

Data Pipeline

Cleaned and aligned anonymized high-frequency tick data with Python, Pandas and Polars, then turned it into repeatable feature and evaluation workflows.

使用 Python、Pandas 与 Polars 清洗和对齐高频 Tick 数据,形成可重复的特征与评估流程。
PRACTICEDB—02

API Integration

Coordinated front-end and API integration for Lens Agent in a 48-hour sprint, clarified interface states and helped shorten integration time by 30%.

在 Lens Agent 项目中推动前端与接口联调、梳理接口状态,联调时间缩短 30%。
PRACTICEDB—03

AI Workflow

Use AI-assisted analysis and human review as a workflow: structure inputs, inspect outputs and keep the final decision explainable.

将 AI 辅助分析与人工复核组织为工作流,关注输入结构、输出检查与可解释性。
CURRENT FOCUSB—04

Backend Systems

Deepening service boundaries, data models, task state, logging, failure recovery and LLM tool workflows.

正在深化服务边界、数据模型、任务状态、日志、失败恢复与 LLM 工具工作流。

03 / SELECTED WORK

Quant Canvas

The first three cards are research directions. Lens Agent is a completed 48-hour delivery and is presented separately as verified execution.

前三项为研究方向;Lens Agent 是已完成的 48 小时交付项目。
Factor Signal Lab concept visual

RESEARCH DIRECTION

Factor Signal Lab

A reproducible flow for market data, feature construction, chronological validation and cost-aware evaluation.

市场数据、特征构建、时序验证与交易成本评估流程。
Risk and Drawdown Engine concept visual

RESEARCH DIRECTION

Risk & Drawdown Engine

An interpretable monitoring layer for volatility, correlation, drawdown, allocation and exposure.

围绕波动率、相关性、回撤、配置与组合暴露的可解释监测层。
Alternative Data Pipeline concept visual

RESEARCH DIRECTION

Alternative Data Pipeline

A bridge from behavioral insight to alternative-data cleaning, signal definition and model evaluation.

从用户行为洞察到另类数据清洗、信号定义与模型评估。
Ray presenting Lens Agent at Attrax Hackathon

VERIFIED DELIVERY · 2026

Lens Agent

Owned the interaction flow, high-fidelity interface and front-end implementation. Aligned front-end and backend states, data flow and API integration in a four-person team.

负责交互流程、高保真界面与前端实现,并在四人团队中推动接口状态、数据流和联调节奏对齐。
ENTERPRISE OS / MACAU

USER-CONFIRMED PROJECT

Macau Enterprise SaaS

Helped a Macau team build an enterprise full-stack SaaS, participating in requirement breakdown, product interface, front-end/backend collaboration and the end-to-end delivery flow.

协助澳门团队搭建企业全栈 SaaS,参与企业需求拆解、产品界面、前后端协作与完整交付流程。

04 / AWARDS

Evidence across
technology & art.

Two awards support the same profile: the ability to build with AI and the visual sensitivity to make technology legible and memorable.

两项奖项分别来自 AIGC 创新与数字艺术,体现技术实践与艺术审美的交叉能力。
TECHNOLOGY / 202602

South China
Second Prize

China Collegiate Computing Competition · AIGC Innovation Competition, Creator Track

《小时光》中国高校计算机大赛 AIGC 创新赛 · 创作赛道 · 华南赛区二等奖
DIGITAL ART / SPRING EDITION03

Third Prize

5th HKDADC Hong Kong Digital Art & Design Competition

EARTH WHISPERS第五届 HKDADC 香港数字艺术设计大赛春季赛 · 三等奖

05 / EXPERIENCE

Evidence in
numbers.

Metrics stay next to the work that produced them.每项数据都与对应经历放在一起。

Attrax Hackathon venue
ATTRAX × BEYOND EXPO / 2026
TOP 30%1.55 OOS SHARPE
< 7.8% MAX DRAWDOWN

2025

Paris Quant Challenge

Honorary Strategy Award

Built a cross-sector statistical-arbitrage strategy on anonymized Euronext Paris tick data using Python, Pandas, Polars, ADF and Engle–Granger tests.

基于欧洲泛欧交易所匿名高频 Tick 数据构建跨行业统计套利策略,获 Top 30% Finalist/策略优秀奖。
+27%CORE-PATH CLICKS
+45% MONTHLY REACH

2026

EMC Global

Cross-border E-commerce Operations

Built overseas brand visuals, improved web interaction and supported social strategy.

搭建海外品牌视觉、优化官网交互并支持社媒策略。
48H4-PERSON TEAM
2 HOURS EARLY

2026

Attrax Joint University Hackathon

Interaction & Front-end Development

Delivered the Lens Agent demo through rapid iteration, interface implementation and API coordination.

通过快速迭代、界面实现与 API 协作完成 Lens Agent 演示。
23—24PRODUCT OPERATIONS
COMMUNITY & EVENTS

2023—2024

LALA Company

Product Operations

Supported international art fairs, offline events, community engagement and content operations.

参与国际艺术书展、线下活动、社群与内容运营。

06 / CONTACT

Let’s build with
data & AI.

Open to quantitative research, AI product and backend engineering opportunities.期待量化研究、AI 产品与后端工程方向的机会。