The Senior Data Operator is responsible to execute the collection, composition, control and distribution of data being part of the service scope according the effective SLA agreements.
Furthermore, this role is responsible to answer client questions and conduct all necessary data analyses to resolve service delivery incidents to continue service delivery.
The role is also responsible to adhere to all relevant operational risk as well as data governance and quality frameworks.
Eventually, this role also requires to demonstrate very client-focused mindset and provide coaching to other members
Execute all daily service deliverables in terms of collecting, composing, controlling and distributing data are met according to effective client SLAs
Execution of all quality checks part of the service scope and strict adherence to existing run-book(s) as well as data quality and governance frameworks and conduct first data analysis in case of unexpected data behavior
Resolve all data questions, service requests and requested audit support raised by clients in a timely and professional manner to ensure customer satisfaction and SLA compliance
Perform all necessary tasks to comply existing operational risk frameworks (e.g. Sarbanes Oxley Act (SOX), Risk and Control Engine (RACE) etc.)
Proactively support and contribute to continuous improvement of operational processes (with predominant focus on manual processes and / or high risk areas), data quality checks and system functionality
Work with local / regional clients to identify specific requirements, special data treatment or any other client demands which need to be delivered as part of the service scope
Perform continuous know-how exchange between the different Data Operations teams in terms of processes, incidents, documentation or other open topics to avoid know-how silos / gaps and assure service level consistency
Monitor and report any kind of issues along the data supply chain including but not limited to interface issues, missing data files or interrupted business processes and trigger the necessary resolution processes to ensure service delivery continuation
Maintain documentation in terms of business processes, functional descriptions, operational run-books or other manuals to ensure information transparency and enable know-how transfers
Bachelor degree or equivalent in finance to engineering
Solving master and reference data issues based on exception handling, 3-4 years
Applying operational data management and data governance, 2-3 years
Process design and engineering experience, 1-2 years
Process management experience, 1-2 years
Requirements engineering and data modelling experience, 1-2 years
Experience with EDM platforms, 4-5 years
Experience with data vendor feeds (Bloomberg, IDC, Reuters, etc.) and display products, 4-5 years
Experience with service request systems or any other similar ticketing tool, like HPALM, Service Now, etc., 4-5 years
Deep knowledge of traditional and non-traditional financial instruments and markets including structured securities, especially complex instruments like ABS / MBS, index linked bonds, and syndicated loans.
Why join SimCorp?
At SimCorp we sincerely believe our employees are our greatest asset and we treat them accordingly. As a SimCorp'er you can work with highly-skilled and supportive colleagues from more than 52 nationalities across 20+ international offices.
You will experience an organization that welcomes people of all views and backgrounds, and provides countless ways to grow and develop.
You will share our pursuit for innovation and knowledge, and your contributions will help shape the future of financial technology.
What better place to build a rewarding career?