Argyll Scott is helping the client looking for Quantitative Researcher Consultant/Senior Consultant. This role will responsible for conduct research on financial markets and develop predictive trading models using statistical and machine learning techniques on large datasets.
Key Responsibilities;
- Quantitative Researchers collaborate extensively with engineering and trading teams to build platforms for testing, deploying, and optimizing trading and execution algorithms
- Extract predictive signals from various financial market data using mathematical and machine learning methods.
- Research, develop, and deploy trading models by analyzing daily and intraday market data and brainstorming ideas with traders
- Formulate and apply mathematical modeling techniques to continuously optimize the performance of trading strategies, risk management, and order execution
- Create tools and libraries to explore and visualize datasets and enable the ideation of new predictive features.
- Collaborate with engineering teams to develop, test, and enhance backtesting and trading platforms
- Advanced knowledge of one or more specialized areas in applied mathematics and machine learning (e.g. deep learning, signal processing, time-series analysis, reinforcement learning, convex optimization, stochastic processes)
- Experience working with large datasets in finance or other application domains
- Work with engineering teams to collect, pre-process, and analyze both structured and unstructured financial market data, such as order book, price/volume, news articles, analyst commentary, social sentiment, etc
Key Qualifications;
- Bachelors, Masters, or PhD from top-tier universities in Computer Science, Computer/Electrical Engineering, Physics, Mathematics, Statistics, or other related fields
- Strong analytical and problem-solving skills
- Strong quantitative foundation, including mathematical modeling and statistics
- Competency in Python or C++
- Have a research mindset: ability to think independently and creatively approach complex problems
- Possess a strong interest in learning about financial markets; prior finance experience is not required
- Demonstrate a strong work ethic and a desire to work in a fast-paced, team-driven environment
- Good communication skills with the ability to express complex ideas in simple terms
Argyll Scott Asia is acting as an Employment Agency in relation to this vacancy.