Sr Data Scientist

• My client provides a unique opportunity to work in a global company within a team with the culture of a start-up. They investigates the application of new technologies to there financial products and services.
• Technologies used by them are used in investigating or actively involved in financial NLP, machine learning and graph databases.

Product or Service

• They are involved in a large range of projects leveraging a multitude of different technologies, so a successful candidate is unlikely to be assigned to a single product or service.
• As a part of our growing Singapore team of data scientists, engineers and UX/UI designers you will be part of our global network of like-minded colleagues in our sister lab globally.
• Recently the group has worked on sentiment analysis on financial data, FX impact analysis, graph-based risk analysis, turned text into risk signals, created ML predictions of bond prices, and created real time data simulation.
• There team offers a great flexible working environment, values curiosity and supports an open and learning culture for all levels of experience & seniority.

Key Responsibilities

• Perform scientific research into the latest methodologies and technologies within a Financial setting, specifically in the areas of ESG and sustainable investing.
• Apply machine learning, deep learning, NLP, and other data science techniques to create novel ESG and sustainable investing models.
• Scope and build proof-of-concepts / prototypes using data science techniques
• Conceive, develop, and test algorithms with tools like Python, AWS, etc.
• Locate, clean and wrangle data. Integrate internal and external data sources using API’s.

• PhD or Master’s degree in a highly quantitative field such as computer science, physics, applied mathematics, or engineering.
• Industry experience analysing and working with geospatial data and geostatistical libraries.
• Minimum 2 years of industry experience in Finance in the area of sustainable/ESG investing.
• Deep understanding of financial issues linked to ESG and sustainable investing, including data structure and data quality of ESG ratings, scores and other datasets.
• Detailed knowledge on how companies manage and report on ESG issues and experience analysing this data..

• Experience in project management, from conception to delivery.
• Experience producing and rapidly delivering minimum viable products.
• Strong programming experience in Python and its core libraries like NumPy, pandas and scikit-learn.
• Hands-on experience with ML, Deep Learning, and NLP.
• Ability to write fully-tested, production-level code.
• Experience working with large relational, NoSQL, or Graph databases.
• Excellent communication and interpersonal skills and ability to work as part of a multi-cultural team.

Shahbaz Khan