Longqi WANG

Data Scientist

Singapore, Singapore14 yrs 8 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in developing scalable risk management solutions.
Proven track record in quantitative trading strategies.
Strong background in machine learning applications.

Stackforce AI infers this person is a Fintech expert with a strong focus on risk management and quantitative analysis.

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Skills

Core Skills

Large Language Models (llm)Financial Risk Management

Other Skills

Large modelsSanctionAnomaly detectionFraud detectionSanction screeningScalabilityPythonMachine LearningRC++Signal ProcessingHadoopVisual Basic for Applications (VBA)Finite Element AnalysisMatlab

Experience

Bytedance

Risk Data Scientist

Jun 2022 – Present · 3 yrs 9 mos

Anomaly detection based system to identify emerging fraud trends
Scalable sanction/PEP screening engine can handle multiple million requests per hour
LLM/VLM applications in compliance and risk domains

Large Language Models (LLM)Large modelsSanctionFinancial Risk Management

Ocbc bank

Data Scientist

May 2020 – Jun 2022 · 2 yrs 1 mo · Singapore, Singapore

Created end-to-end solutions for compliance and risk related problems.

Bank of singapore, asia's global private bank

Data Scientist (Secondment)

May 2020 – Jun 2022 · 2 yrs 1 mo

Harveston asset management

Quantitative Analyst

Dec 2017 – Apr 2020 · 2 yrs 4 mos · Singapore

Designed, built, and maintained the data platform for quantitative trading
1. Designer and maintained the price volume and reference data for 10k+ securities across multiple types and countries (enabled 100+ data-driven strategies to be built and deployed)
2. Designed and built a unified platform for quantitative model development and production (accelerated the development and deployment speed of quantitative models 10x)
3. Developed scripts for post-trade activities such as position/signal/pnl consolidation.
Project lead for ML-based quantitative trading
1. Designed the workflow for ML-based trading strategies from exploring to deployment.
2. Built models to trend prediction of the stock market.
3. Built models to evaluate market conditions, such as volatility.
4. Built models to select execution algorithms and their parameters.

Nanyang technological university

2 roles

Research Associate

Apr 2017 – Dec 2017 · 8 mos

1. Led the development of a microclimate prediction engine and built its ML calibration module.
2. Led safety warning system development for the smart crane.
3. Project leader for automatic structure component analysis based on BIM.

PHD Researcher

Jul 2013 – May 2017 · 3 yrs 10 mos

My PhD. research is focused on monitoring foundations and fasteners in the rail system.

Beijing key laboratory of environement noise and vibration

Researcher

Aug 2012 – Jul 2013 · 11 mos · Beijing

Research on vibration based structure damage detection methods, vibration signal analysis and others related. Vibration and acoustic testing and analysis are also a part of the job. I am familiar with vibration assessment standards in China, especially whole body vibration evaluation.

State environmental protection engineering center for city noise and vibration control

Researcher

Jul 2011 – Aug 2012 · 1 yr 1 mo · Beijing City, China

Numerical simulation on train induced vibration with commercial Finite Element software ANSYS and Abaqus. Write APDL program for parameterised ANSYS calculation. Write Python script to control Abaqus calculation procedure and post processing. Design I/O interface for DASP data and FEM programs, which is 1000 times faster than the official software. Develop a new iteration algorithm for MTVV, which plays a key role in vibration assessment. Conduct vibration experiments for numerical simulation.