Lead Financial Data Analyst

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WHAT MAKES US, US Join some of the most innovative thinkers in FinTech as we lead the evolution of financial technology. If you are an innovative, curious, collaborative person who embraces challenges and wants to grow, learn and pursue outcomes with our prestigious financial clients, say Hello to SimCorp! At its foundation, SimCorp is guided by our values - caring, customer success-driven, collaborative, curious, and courageous. Our people-centered organization focuses on skills development, relationship building, and client success. We take pride in cultivating an environment where all team members can grow, feel heard, valued, and empowered. If you like what we're saying, keep reading! WHY THIS ROLE IS IMPORTANT TO US This position is for an existing vacancy of Lead Financial Data Analyst. This person is expected to execute the collection, composition, control and distribution of market and master data for financial instruments (Equities, Funds, Fixed Income, ABS/MBS and OTC Derivatives, etc.) for various SimCorp clients and in accordance of the effective SLA agreements. Furthermore, this role is responsible to answer client questions and conduct all necessary data analyses of financial instruments data 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 demonstrating very client-focused mindset, substantial know-how of financial instruments (such as Equities, Fixed Income, ABS/MBS, etc.) and provide coaching to other members. WHAT YOU WILL BE RESPONSIBLE FOR Executes all daily service deliverables in terms of collecting, composing, controlling and distributing financial instrument data according to effective client SLAs Execution of all quality checks part of the service scope and strict adherence to existing runbook(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 runbooks or other manuals to ensure information transparency and enable know-how transfers WHAT WE VALUE Most importantly, you can see yourself contributing and thriving in the position described above. How you gained the skills needed for doing that is less important. We expect you to be good at several of the following and be able to - and interested in - learning the rest. Experience with data vendor feeds (Bloomberg, IDC, Reuters, etc.) and display products, 5-7 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. Bachelors degree or equivalent in finance or engineering Solving master and reference data issues based on exception handling, 4-5 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 service request systems or any other similar ticketing tool, like HPALM, Service Now, etc., 4-5 years

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