Job details

Location
Singapore
Negotiable
Job Type
Permanent
Ref
1040292_1614783383
Posted
about 3 years ago

Job details

Location
Singapore
Negotiable
Job Type
Permanent
Ref
1040292_1614783383
Posted
about 3 years ago

We are recruiting for a Senior Data Scientist for a global company for their start up lab in Singapore.


The role will be to investigate the application of new technologies for financial products using financial NLP, graph databases & machine learning.

Recent projects include: 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.

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 directly for Refinitiv customers.
    • 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.

Qualifications

    • PhD or Master's degree in a highly quantitative field such as computer science, physics, applied mathematics, or engineering.
    • Minimum 3 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..
    • Ability to individually conduct scientific research.
    • Experience analysing and working with geospatial data and geostatistical libraries is an asset.
    • 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.

This is an excellent opportunity to be apart of a start-up like lab within a large global leader. Our client offers a great flexible working environment, superb benefits and compensation, values curiosity and supports an open and learning culture for all levels of experience & seniority.

EA license No. : R1657232

Agency License No.: 11C4388