WHY THIS ROLE IS IMPORTANT TO USThe Data Operations Manager is responsible to lead, manage, support and develop the regional Data Operations team(s) who are responsible to manage the
market and master data for financial instruments for various clients. The role is accountable to assure all data in scope of SimCorp's Datacare offering (managed data service for financial instrument data) is collected, composed, controlled and distributed according the effective SLA agreements with the individual clients. In particular, this includes governing, processing and distributing of all financial instruments/institution master and pricing data.
Furthermore, this role is responsible to manage shifts and capacity needs in the local Data Operations team and steer immediate resource (re)allocations according to the service needs of the clients.
The Data Operations Manager is also the first contact point for customer interaction beyond the regular service requests and manages the relation to regional and local clients in collaboration with the Head Service Delivery and ultimately with the Head Data as a Service.
This role also requires a very client-focused mindset, substantial know-how of financial instruments (such as Equities, Fixed Income, ABS/MBS, etc.) and the ability to provide coaching to other members.
WHAT YOU WILL BE RESPONSIBLE FOR- Manage regional Data Operations teams and ensure all daily service deliverables in terms of collecting, composing, controlling and distributing financial instrument data are met according to effective client SLAs
- Documenting client requirements and displaying them in a consistent format (runbook) to ensure both client and data operations agree on procedures and execution of agreed to service deliverables.
- Assure the execution of all quality checks part of the service scope and strict adherence to existing runbook(s)
- Ensure all questions and service requests raised by clients are resolved in a timely and professional manner to ensure customer satisfaction and SLA compliance
- Ensure compliance with all existing governance and risk frameworks and execution of all mandatory operational risk and audit deliverables in the effective service context (e.g. Sarbanes-Oxley Act (SOX), etc.)
- Manage and oversee all executed data analysis as a result of client requests and assure operational adherence of existing incident and change management processes standards
- Frequently review, (re)design and improve existing processes, quality controls and manual workarounds especially those which pose a high error risk to the service deliver
- Establish and maintain relationships with local and regional clients and act as a single point of contact (SPOC) on all service delivery related matters in collaboration with the DaaS Head Service Delivery
- Collaborate with Data Advisory and Change Management team to manage resource demands originating out of changes and testing efforts
- Assure and foster continuous know-how exchange between the regional Data Operations teams to eliminate know-how silos and gaps in terms of processes, incidents and general documentation
- Oversee and improve the effectiveness of defined data quality and governance frameworks to sustain data quality and reliability of the service delivery
- Manage and follow up on audit, SOX and other operational risk topics to ensure compliance and timely closure
- Maintain all operational documentation relevant in the context of daily service deliveries, e.g. run-books, control sign-offs, etc.
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
- People Management experience, 3-4 years
- Solving master and reference data issues based on exception handling, 3-4 years
- Managing service delivery team(s) and client relations, 3-4 years
- Applying operational data management and data governance, 2-3 years
- Process design and engineering experience, 1-2 years
- Process management experience, 2-3 years
- Requirements engineering and data modelling experience, 1-2 years
- Experience with EDM platforms, 3-4 years
- Experience with service request systems or any other similar ticketing tool, like HPALM, Service Now, etc., 4-5 years
BENEFITS The salary range for this position is $133,200 - 183,000 CAD annual. Base pay may vary based on factors such as years of experience, skills and qualifications. Additionally, employees are eligible for an annual discretionary bonus and benefits including health and dental care, time off and Group RRSP/TFSA.
NEXT STEP 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 endeavor to mitigate biases in our recruitment process.
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.
This position is for an existing vacancy.
Our hiring process uses AI-enabled tools to support the screening and assessment of applications. All applicants are still reviewed by a skilled recruitment team. AI does not make hiring decisions. Human reviewers, who are trained to understand the limitations, potential risks, and possible biases associated with AI tools, evaluate all applications and AI-assisted results before any decision is made.
If you have questions about how your information is processed in detail, feel free to contact us.
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