Thang Dinh Ho (Lead Quantitative Developer)

CTO

Vietnam5 yrs 3 mos experience

Highly Stable

Key Highlights

Expert in high-frequency trading systems architecture
Proficient in Python for algorithmic trading solutions
Innovative in risk management and financial data analysis

Stackforce AI infers this person is a Fintech expert specializing in algorithmic trading and quantitative finance.

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Skills

Core Skills

Algorithmic TradingHigh-frequency Trading (hft)

Other Skills

Quantitative FinanceRisk ManagementFinancial Data AnalysisSystem ArchitecturePython (Programming Language)Object-Oriented Programming (OOP)PythonAsyncioRedis/In-memory CachePandasREST/WebSockets API integrationQuantitative Management

Experience

5 yrs 3 mos

Total Experience

5 yrs 3 mos

Average Tenure

5 yrs 3 mos

Current Experience

Mft algorithmic trading solutions

Lead Quantitative Developer

Feb 2021 – Present · 5 yrs 3 mos · Remote

Developed and deployed the MFT-V30, a high-performance algorithmic trading framework specialized in multi-strategy execution and institutional-grade risk management.
Core Technical Contributions:
High-Speed Execution: Engineered a 3-layer caching system (Candles, Fingerprint Indicators, Risk States) reducing latency to <100ms.
Robust Infrastructure: Implemented Atomic State Management (PositionStore SSOT) ensuring 100% data consistency and seamless recovery after system restarts.
Advanced Market Microstructure: Developed the "Nuclear Tank" entry logic, utilizing real-time Open Interest (OI) acceleration checks (3 intervals/30s) to filter market noise.
Automated Auditing: Built a comprehensive Trade Accounting System that generates detailed PnL logs, tracking internal IDs, exchange IDs, and granular performance metrics.
Multi-Strategy Management: Successfully managing 30 parallel money management models with integrated fast-path SL/TP fallback mechanisms.
Tech Stack: Python, Asyncio, Redis/In-memory Cache, Pandas, REST/WebSockets API integration.