Data Scientist

The Fixed Income Reference team collects, manages, and supplies content related to Bonds . This content is used extensively across by clients and beyond Refinitiv/LSEG and is a critical asset to a wide range of Refinitiv/LSEG products.

The role of the Data Scientist is to:

Design and develop new methodologies, quantitative models, analysis and commentary (as relevant) that enhance existing or new processes. Maintain existing product performance and independent analysis standards. Internally, work with various departments to grow new ideas and expand the scope of existing products.

Essential Day-to-Day Responsibilities:

• Data handling, data processing and programming
• Develop automated solutions for sourcing/loading Fixed Income Reference data into Database
• Analyze Fixed Income Reference content to establish patterns/trends
• Develop, improve and run quantitative models
• Generate solutions through AI & machine learning for core processes
• Work with business, content and product groups for large-scale analytics problems
• Build POCs, visualizations and pipeline tools for product design and development
• Work with development groups for deployment of analytics solutions
• Interact with other internal teams as needed, with supervision.
  
  

Knowledge & Skills:

• Understanding of algorithms, model building, and evaluation
• Strong understanding of machine learning algorithms
• Knowledge of neural networks and deep learning frameworks
• Extensive experience using Python or R or equivalent
• Skills in transforming and preparing data for model training
• Proficient in using tools and libraries such as scikit-learn, numpy, pandas and jupyter
• Solid relational database skills
• Solid understanding of statistics and statistical language such as R
• Ability to handle large quantities of data
• Narrate stories (to technical and mostly non-technical audience) about our content and processes by data analysis and visualization
• Strong written, communication and presentation skills. Able to respond and present work to peers, senior management and other stakeholders
  
  

Qualification:

Higher education in Statistics, Mathematics or Engineering in Computer Science with Data science certification

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants and employees religious practices and beliefs, as well as mental health or physical disability needs.

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