Data Scientist/ Data Engineer - Alpha Strategies

Job Summary

• Singapore
• Permanent
• BBBH818885
• Jun 13, 2022
• S$10-14k pm

Job Description
Our client is looking for an Experienced Data Scientist or Data Engineer to drive development and deployment of systemic Alpha Strategies for their Wholesale Digital Office.

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.
• Apply sound software engineering following 'Agile' practices in building, testing, and rollout phases to create robust systematic trade recommendation systems beyond an experimentation environment.
• Utilize scientific methods, statistical learning, and possibly alternative data to produce actionable insights.

Those who are keen for the role and would like to discuss the opportunity further, please click "Apply Now" or email Alimpan at amukherjee@morganmckinley.com with your updated CV.

Only shortlisted candidates will be responded to, therefore if you do not receive a response within 14 days, please accept this as notification that you have not been shortlisted.

Alimpan Mukherjee

Morgan McKinley Pte Ltd

EA Licence No: 11C5502

EA Registration Number: R2198629