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深圳市凯丰投资管理有限公司 Tech Stack

Private fund manager with quantitative trading and macro strategy focus

Investment Management 深圳, 广东 51–200 employees Founded 2012 Self-Owned

Kaifeng Investment is a quantitative-heavy fund manager built on Python, MATLAB, and Bloomberg for research and trading. The tech stack reveals a research-first operation—15 of 19 active hires are research roles, with heavy use of backtesting infrastructure (Zipline), interactive brokers APIs, and financial modeling tools (VBA, pandas, NumPy). Current project momentum centers on asset allocation simulation, strategy backtesting, and deep commodity and macro analysis, indicating active development of systematic trading strategies rather than passive fund administration.

Tech Stack 25 technologies

Core StackPython MySQL PostgreSQL MongoDB pandas NumPy MATLAB C++ Java Linux Oracle React JavaScript GitHub Copilot Excel Bloomberg Zipline Interactive Brokers Bloomberg Terminal VBA SQL Deepseek GPT Word PowerPoint

What 深圳市凯丰投资管理有限公司 Is Building

◆Challenges

Optimize asset allocation
Identifying potential risks in bond holdings

▲Active Projects

Large asset allocation strategy simulation
Backtesting system development
Deep industry reports
Strategy development assistance
Industry special report writing
Deep report writing
Energy commodity fundamental analysis
Real-time and historical market data ingestion
Model building for asset allocation
Macro model development

Hiring Activity

Decelerating25 roles · 5 in 30d

Department

Research

Engineering

Finance

Investorrelations

Marketing

Seniority

Intern

Junior

Mid

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About 深圳市凯丰投资管理有限公司

Kaifeng Investment, founded in 2012 and based in Shenzhen, operates as a self-owned fund manager serving wealth clients across private funds, equities, commodities futures, macro strategies, bonds, and quantitative investing. The firm manages research, engineering, finance, investor relations, and marketing functions. Their operational footprint spans 51–200 employees, with active development teams focused on backtesting systems, market data pipelines, and multi-asset allocation models. Current hiring is concentrated in research roles, reflecting heavy demand for analysts and strategists to support ongoing strategy development.

Headquarters深圳, 广东

Company Size51–200 employees

Founded2012

Hiring MarketsChina

Frequently Asked Questions

What programming languages does Kaifeng Investment use?

Python, MATLAB, C++, and Java form the core development stack, with Excel/VBA for modeling and Linux for infrastructure. Research teams also use pandas and NumPy for quantitative analysis.

What markets does Kaifeng Investment focus on?

Based on active projects and specialties: equities, commodity futures (especially energy), bonds, and macro strategies. Current projects include asset allocation models, energy commodity analysis, and macro model development.