This assignment is courtesy our NPA Partner in the USA-for their client hiring in Singapore.

A major financial firm has started a new systematic investment group with a mid to long-term horizon.
The Team multiple investment strategies and portfolios, ranging from long-only equity, fixed income, credit, commodity, FX strategies, to multi-asset long-short. The team’s objective is to generate alpha, using quantitative models that combine data, technology, and advanced analytics.
They are looking for a suitable candidate to join the team as a Data Scientist. The individual will provide advanced data analytics to the team in deploying quantitative investment strategies across a range of asset classes.
Key Responsibilities

• Evaluate, recommend and implement solutions in the areas of data ingestion, storage and management
• Collaborate with the Portfolio Manager/ Researcher to evaluate and analyse noisy, unstructured data
• Build scalable models and algorithms to clean, visualise, and analyse large datasets – generate insights and signals for research
• Manage and lead team to research alpha signals to be included in systematic investment portfolios

Bachelor or Master’s degree in technical disciplines including engineering,computer science, and applied sciences. Background in Financial Engineering, Mathematics, or Statistics is also desirable.
• Experience working with large unstructured data sets and distributed computing tools (Mapreduce, Spark, Hadoop, Hive, etc.)
• Experience with large enterprise databases, in traditional and alternative database technologies (SQL and NoSQL)
At least 5 years’ experience in advanced statistical modelling and machine learning methods to develop robust predictive models
• Hacking skills (ability to quickly prototype solutions for diverse needs)
• Ability to scrape and retrieve data from a variety of unstructured sources (web, text)
• Data manipulation – comfortable handling multiple data types across varying frequencies and complexities as well as familiar in feature selection and
• Fluency in R, Python and/or other similar languages
• Adept in the use of third-party visualization tools (Spotfire, Tableau)
Job Type
Full-Time Regular