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.Read more →
Work place: Office centric
Collaboration: Employment contract
Work time: Full Time
Seniority: Individual Contributor
Experience: 1-2 years
Updated on: 2 months ago
Vacant from: 23 Jul, 21
Expires on: 23 Sep, 21
Categories: Backend, Fullstack
Size:101 - 500 employees
Industry:Information Technology and Services
ISD / Yield Book prides itself in setting a market standard for RMBS and CMBS prepayment/default models that are the cornerstone of Fixed Income Analytics products and services provided by the firm.
Reporting to the Director – Senior CMBS Modeler, this is a junior-level data developer role responsible for data preparation and processing for CMBS/CLO research and modelling. The individual will be responsible for data development, maintenance, and support, working closely with Client Service, Product Management, other Research teams, Data, and Technology.
Learning and understanding CMBS and CLO products to gain domain knowledge.
Understanding of data flows that feed and support Yield Book analytics and models.
Commitment to support and improvement of research and modelling data.
Working on data sourcing, data downloading, data transformation, data validation, data clean-up, imputation, classification, aggregation/stratification, and data report generation.
Coordination with modelers, developers, other Research team members to facilitate troubleshooting and handle client requests.
Maintain and update data dictionary and related documentation at the appropriate level of clarity and detail.
Contribute to research publication efforts involving data-intensive projects.
Strong data science skills in python are required.
Bachelor’s degree in a quantitative field, such as Computer Science, Engineering, Statistics, or Mathematics.
Previous financial industry experience with data processing is preferred.
Knowledge of machine learning is a significant plus.
Attention to details.
Proven ability to work with clients.
Excellent communication skills are required, both oral and written.
Team player, ability to learn and understand new analytics platform quickly and efficiently.
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:
Work from home