Data Scientist – LSEG Labs

Job description

LSEG Labs provides a unique opportunity to work in a global company within a team with the culture of a start-up.

LSEG Labs investigates the application of new technologies to financial products and services. Technologies we are investigating or actively using include financial NLP, machine learning and graph databases. The team itself is multi-disciplinary, comprising specialists in finance, data science, software engineering and design.

Product or Service

  • Labs 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. Information about specific projects would be discussed in the course of the interview process.
  • As a part of our growing Singapore Lab team of data scientists, engineers and UX/UI designers you will be part of our network of like-minded colleagues across Singapore and London
  • Labs projects have recently included analytics based on equity sentiment, FX events, trading transaction costs and building a Custom Financial Language Model
  • Our 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 Data Science methodologies and technologies within a Financial setting.
  • Scope and build proof-of-concepts / prototypes using state-of-the-art data science, ML and NLP techniques
  • Locate, clean and wrangle data. Integrate internal and external data sources using API’s.
  • Conceive, develop, and test algorithms with Python, SQL on platforms like JupyterLab, AWS Sagemaker etc.
  • Lead projects, removing obstacles and taking ownership to find creative solutions.
  • Explain experiment results concisely to other Lab members and project stakeholders


Essential Skills:

  • PhD or Master’s degree in a highly quantitative field such as computer science, physics, applied mathematics, or engineering.
  • 3+ years industry experience working in a Data Science related role, preferably in the Finance Sector
  • Strong programming experience in Python and its core libraries like NumPy, pandas and scikit-learn.
  • Ability to individually conduct scientific financial research.
  • Experience producing and rapidly delivering minimum viable products, results focused with ability to prioritize the most impactful deliverables.
  • Hands-on experience with ML, Deep Learning, and NLP.
  • Ability to write fully-tested, production-level code.
  • Experience working with relational, NoSQL, or Graph databases.
  • Excellent communication and interpersonal skills and ability to work as part of a multi-cultural team.
  • Positive attitude to learning new skills and technologies.

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