Lead Financial Data Analyst

Lead Financial Analyst

WHO WE ARE

For over 50 years, we have worked closely with investment and asset managers to become the world s leading provider of integrated investment management solutions. We are 3,000+ colleagues with a broad range of nationalities, educations, professional experiences, ages, and backgrounds.

SimCorp is an independent subsidiary of the Deutsche B rse Group. Following the recent merger with Axioma, we leverage the combined strength of our brands to provide an industry-leading, full, front-to-back offering for our clients.

SimCorp is an equal-opportunity employer. We are committed to building a culture where diverse perspectives and expertise are integrated into our everyday work. We believe in the continual growth and development of our employees, so that we can provide best[1]in-class solutions to our clients

WHY THIS ROLE IS IMPORTANT TO US

The Financial Data Operator is responsible to execute the collection, composition, control and distribution of market and master data for financial instruments (Equities, Funds, Fixed Income, ABTS/MBS, OTS Derivatives, etc.) for various SimCorp clients and in accordance of the effective SLA agreements.

Furthermore, this role is responsible for answering 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
• Experience working cross-organizationally with both Business and Technology groups.
• 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

For the Financial Analyst position, we value

• MUST HAVE:

Experience with data vendor feeds (Bloomberg, IDC, Reuters, etc.) and display products, 4-5 years Deep knowledge of traditional and non-traditional financial instruments and markets including structured securities, Swaps, especially complex instruments like ABS/MBS, index linked bonds, and syndicated loans. Bachelor s degree or equivalent in finance or engineering Solving master and reference data issues based on exception handling, 4-5 years Experience of data integration on any EDM platform, 4-5 years Applying operational data management and data governance, 2-3 years Process design and engineering experience, 2-3 years Experience with service request systems or any other similar ticketing tool, like HPALM, Service Now Salesforce, etc., 4-5 years

• GOOD TO HAVE:

Ability to troubleshoot technical glitches in existing data process and coordinate with Technology team to resolve. Experience in developing process automation, improvements, and streamlining using tools like KNIME, Alteryx, Excel VBA and/or scripting on programming language such as Python, PowerShell including intermediate knowledge of SQL.

BENEFITS

Attractive salary, bonus scheme, and pension are essential for any work agreement. However, in SimCorp we believe we can offer more. Therefore, in addition to the traditional benefit scheme, we provide a good work and life balance: flexible working hours and a hybrid model. And opportunities for professional development: there is never just only one route - we offer an individual approach to professional development to support the direction you want to take

NEXT STEPS

Please send us your application in English via our career site as soon as possible, we process incoming applications continually. Please note that only applications sent through our system will be processed. At SimCorp, we recognize that bias can unintentionally occur in the recruitment process. To uphold fairness and equal opportunities for all applicants, we kindly ask you to exclude personal data such as photo, age, or any non-professional information from your application. Thank you for aiding us in our endeavour to mitigate biases in our recruitment process. For . If you are interested in being a part of SimCorp but are not sure this role is suitable, submit your CV anyway. SimCorp is on an exciting growth journey, and our Talent Acquisition Team is ready to assist you discover the right role for you. The approximate time to consider your CV is three weeks.