Data Scientist/ Data Engineer - Alpha Strategies
- Employer
- Morgan McKinley
- Location
- Singapore, Singapore
- Salary
- S$10-14k pm
- Closing date
- Jun 30, 2022
View more
- Job Function
- Other
- Industry Sector
- Finance - General
- Employment Type
- Full Time
- Education
- Bachelors
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Job Summary
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:
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
- Singapore
- Permanent
- BBBH818885
- Jun 13, 2022
- S$10-14k pm
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.
- Preferred knowledge of modelling, risk management, pre- and post-trade analytics.
- 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.
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
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