Data Scientist/ Data Engineer

4 days ago

Singapore Morgan McKinley Full time

**Mandatory Skills**:

- Masters' degree in Computer Science/Quantitative Finance/ Mathematics/ Engineering/ Finance/ relative field from an accredited education institution.
- At least 3 years of working experience in Data Science/ Machine learning role in developing quantitative trading, investment strategies in Financial Markets.
- Experience in implementing advanced Machine Learning prediction pipelines.
- At least 3 years of experience in software engineering, optimisation, and advanced Python, CI/CD, and productionisation systems such as Gitlab, Jenkins, AWS, CircleCI and Linux.
- Ability to write clean, scalable, tested production-ready code and well-verse with common data science and machine learning libraries.
- Familiarity with Big Data Analysis, Neural Networks, and/or Reinforcement Learning and other Machine Learning approaches for forecasting.
- Excellent written and verbal communication skills effectively at all organisational levels.
- Proven analytical and problem-solving skills.

**Desired Skills**:

- Preferred knowledge of modelling, risk management, pre
- and post-trade analytics.

**Responsibilities**:

- Involve in design and research algorithms for development and deployment of systematic Alpha strategies used in medium/low frequency trading.
- Focus is on development of scalable strategies leveraging machine learning/ computational intelligence as appropriate to extract robust, demonstrable, persistent systematic alpha.
- Closely collaborate with Alpha Strategy centres in London, New York, and Singapore to absorb, implement, and extend best practices for data analysis, development, productionisation, and deployment.
- Utilize scientific methods, statistical learning, and possibly alternative data to produce actionable insights.

Alimpan Mukherjee

Morgan McKinley Pte Ltd

EA Licence No: 11C5502

EA Registration Number: R2198629

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