Financial Data Scientist, Refinitiv Labs

Location: Raffles

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

Refinitiv Labs investigates the application of new technologies to Refinitiv 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 global network of like-minded colleagues in our sister lab in London.
  • 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.
  • Our team offers a great flexible working environment, values curiosity and supports an open and learning culture for all levels of experience & seniority.

Don’t get stuck optimizing ad impressions! Come work with us to build data applications defining the future of financial technology!

Key Responsibilities:

  • Perform scientific research into the latest methodologies and technologies within a Financial setting.

  • 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.

  • Lead projects, removing obstacles and taking ownership to find creative solutions.

  • Locate, clean and wrangle data. Integrate internal and external data sources using API’s.


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 the Financial sector, preferably in the capital markets.

  • 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.

Knowledge & Skill :
  • Experienced professional with in-depth knowledge of technical discipline or specialism
  • Provides subject matter expertise across sub-units
  • Strong understanding of other roles within the function or Business Unit and how they are connected
  • Knowledge of relationships between all relevant groups within the company
  • Adapts traditional approaches to solutions and applies in different circumstances
  • Demonstrates mastery of a specific discipline across a range of related issues

Scope of Impact :
  • Leads routine projects with manageable risks and resource requirements
  • Provides input to department objectives and goals of a sub-Business Unit or function
  • May manage budgets for small projects or programs
  • Advises middle management on functional matters, or on interpretation of policies and practices
  • May train or mentor professional colleagues

Strategic Planning & Decision Making :
  • Makes recommendations that may shape operational strategy
  • Determines the nature of complex or undefined problems; independently identifies the best solution from many alternatives
  • Escalates higher risk or more unique problems
  • Decisions require interpretive thinking and some judgment in developing solutions

People are at the heart of what we do and drive the success of our business. Our culture of connecting, creating opportunity and delivering excellence shape how we think, how we do things and how we help our people fulfil their potential.

At LSEG we embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives. We break down barriers and encourage collaboration, enabling innovation and rapid development of solutions that make a difference. Our workplace generates an enriching and rewarding experience for our people and customers alike. Our vision is to build an inclusive culture in which everyone feels driven to reach their potential.

We know that real personal growth cannot be achieved by simply climbing a career ladder – which is why we encourage and enable a wealth of avenues and interesting opportunities for everyone to broaden and deepen their skills and expertise.

LSEG are committed to supporting emotional, physical, financial and societal wellbeing. Our tailored benefits are a key part of this commitment and we offer colleagues a range of support from healthcare and retirement planning to paid volunteering days and consumer discounts.

We also make reasonable accommodations for applicants and employees with disabilities. If an accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please make your recruiter aware, we want to ensure you perform at your best.

As a global organisation spanning 70 countries and one rooted in a culture of growth, opportunity, diversity and innovation, LSEG is a place where everyone can grow, develop and fulfil your potential with purposeful careers.

Please take a moment to read this privacy notice carefully, as it describes what personal information the London Stock Exchange Group (LSEG) (“We”) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject .

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

*** Mention DataYoshi when applying ***

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