Junior Data Scientist

Bucharest - Iuliu Maniu Boulevard

London Stock Exchange Group

LSEG is your trusted global financial markets infrastructure and data provider. Discover how we deliver value for our customers.

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About Us:

LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It’s how we’ve contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years.Ā Through a comprehensive suite of trusted financial market infrastructure services – and our open-access model – we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity.

LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific.

Role Overview:

SFI Innovation & Engineering provides an outstanding opportunity to work with data in a global company whilst in a team with the culture of a start-up.Ā 

We investigate the application of new technology to LSEG Sustainable Finance & Investment products and services. We are involved in a large range of projects using a multitude of different technologies, so a successful candidate is unlikely to be assigned to a single product or service. Information about specific projects may be discussed during the interview process.

As a part of our team of data scientists, engineers and UX/UI designers you will be part of our global network of like-minded colleagues.Ā 

Our team offers an open and flexible working environment, values curiosity and supports an open and learning culture for all levels of experience & seniority.Ā 

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Main ResponsibilitiesĀ 

  • Create minimal viable products utilising data science techniques directly for our customersĀ 

  • Devise compelling proposals with technologists and business to drive innovation from conception to production with appropriate success metricsĀ Ā 

  • Lead and support projects, removing obstacles and taking ownership to find creative solutionsĀ 

  • Acquire domain expertise in financial market content and in LSEG data and productsĀ 

  • Network in the fintech, big tech and academic community through conferences, meetups and workshops – bringing leading edge techniques and technology into business strategy.Ā 

  • Engage with senior level SMEs internally and externally to discover problems and use cases as well as to translate business impact of ongoing and completed projects.Ā 

Required Skills:Ā 

  • PhD or Master’s degree in a highly quantitative field such as finance, computer science, physics, applied mathematics, or engineering.Ā 

  • 2+ years industry experience working in a data science or machine learning engineering roleĀ Ā 

  • Experience producing and rapidly delivering minimum viable products.  

  • Strong programming experience in Python and its core libraries like NumPy, Pandas.Ā 

  • Hands-on experience with ML, Deep Learning, and NLPĀ 

  • Experience working with large datasets to build machine learning modelsĀ 

  • Experience with database management languages, such as SQLĀ 

  • Ability to track down complex data quality and data integration issues, evaluate different algorithmic approaches, and analyze data to solve problems. Curiosity about the details of datasets is critical.Ā 

  • Positive approach to learning new skills and technologiesĀ 

  • Excellent communication and social skills and ability to work as part of a multi-cultural team.Ā 

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Desirable ExperienceĀ 

  • Experience using Cloud to perform large scale calculations, such as AWS, Google Cloud Platform or Microsoft AzureĀ 

  • Domain knowledge in financial services such as quantitative finance, Financial Engineering, Electronic Trading or Risk Modelling.Ā 

  • Experience with Spark ML/MLlib or similar big data technologiesĀ 

  • Good understanding and appreciation of software engineering principlesĀ 

  • Familiarity with emerging themes and technologies in data scienceĀ Ā 

  • Confidence in communicating complex projects clearly to senior managementĀ 

Benefits:

We are looking for intellectually curious people, passionate about the bigger picture of how technology industry is evolving, ready to ask difficult questions and deal with complicated scenarios! If you are creative and a problem solver, this is the place to be as will be supporting you to fast-forward your career!

We maximise each employee’s potential through personal development through a wide range of learning tools both formal and informal. We believe in remunerating our people with competitive salaries and a range of attractive benefits such as:

  • 25 days’ holiday per year
  • 1 additional day off for your Birthday
  • Annual wellness allowance
  • Share Purchase Plan
  • Medical Health Insurance
  • Medical Subscription (preventive medical services)
  • Dental Coverage
  • Life insurance
  • Pillar 3 Private Pension
  • Meal Vouchers
  • Flexible Benefits
  • Bookster
  • Volunteering Events

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.

Please take a moment to read this privacy notice carefully, as it describes what personal information 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.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index šŸ’°

Job stats:  38  3  0
Category: Data Science Jobs

Tags: AWS Azure Big Data Computer Science Data quality Deep Learning Engineering Finance FinTech GCP Google Cloud Machine Learning Mathematics ML models NLP NumPy Pandas PhD Physics Privacy Python Spark SQL UX

Perks/benefits: Career development Conferences Equity / stock options Flex hours Health care Insurance Startup environment Team events Wellness

Region: Europe
Country: Romania

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