LSEG Romania
LSEG Romania

LSEG Romania

LSEG is Open. LSEG (London Stock Exchange Group) Technology and Operations Hub in Bucharest plays a key role in providing services to the wider Group and its clients across the world. LSEG Romania employs professionals to cover a wide range of technology, web services, research and development and corporate function roles, in a team of 330+ colleagues in Bucharest, continuing to grow.

Quantitative Data Analyst | LSEG Romania
  • Work place: Hybrid

  • Collaboration: Employment contract

  • Work time: Full Time

  • Seniority: Individual Contributor

  • Experience: 2-4 years

  • Updated on: 2 months ago

  • Vacant from: 23 Jul, 21

  • Expires on: 23 Sep, 21

  • Pay: Negotiable

  • Categories: Backend, Fullstack, Data science, Data Engineering

  • Size:101 - 500 employees

  • Industry:Information Technology and Services

Market (net €/month)
  • Only Loginro members with a minimum completed profile that share their salary expectations for this position may access its industry median pay.

ISD Analytics / Yield Book prides itself in setting a market standard for RMBS and CMBS collateral models that are the cornerstone of Fixed Income Analytics products and services provided by the firm. These models are underpinned by complex data that is used to analyse prepayment and credit behaviour of the underlying assets. Efficient data handling and visualizations are key to successful data modelling involved in the sector of Fixed Income.

This role involves interactions with Cloud Architects to drive platform evolution, onboard relevant services in the cloud environment, coordination of data loading into the platform


Main Responsibilities:

  • Collect data operations requirements from Research quantitative analysts and data scientists
  • Design optimal data services and data models to fit the use cases
  • Prototype and experiment with cloud services to find optimal data processing patterns, services and third party solutions, set up automation pipelines
  • Coordinate with Cloud Architects and other relevant partners in Technology, Information Security, and others, on the evolution of the cloud platform
  • Assist and coordinate with Technology on data ingestion and ETL


Skills and Experience:

  • Demonstrated experience working with big data in a cloud environment, preferably AWS.
  • Expert level hands-on demonstrable knowledge of Python programming language.
  • Knowledge of cloud based data processing technologies such as EMR, AWS RedShift, Snowflake, Dynamo DB etc are very strong plus
  • Familiarity with Apache Spark, including PySpark is a strong plus
  • Academic degree (MS preferred) in Engineering, Mathematics, Computer Science, or similar quantitative fields is a strong plus.
  • Knowledge of Linux operating system, csh/bash/ksh is a strong plus.
  • Amazon Web Services Certifications are a strong plus.
  • Strong work ethics and culture of responsibility and leadership.
  • Excellent communication skills. Team player.
  • Familiarity with source control system such as GIT and modern build and release systems.
  • Familiarity with modern IDEs is a plus.
  • Strong analytical and problem-solving skills, good attention to details.
  • Strong self-motivation to face technical challenges.

We are looking for intellectually curious people, interested in the bigger picture of how technology industry is evolving, ready to ask difficult questions and deal with complicated scenarios. If you a forward thinker and 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:

  • Pillar 3 Supplemental Pension
  • 25 days’ holiday a year
  • Private medical insurance
  • Group life insurance policy
  • Meal vouchers
  • Share Purchase Plan
  • Volunteering Days
  • Bookster

Available in


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