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
The 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.
SimCorp Canada welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Candidates who require accommodation during the recruitment process should contact the People & Culture team at [email protected].
We are eager to continually improve our talent acquisition process and make everyone’s experience positive and valuable. Therefore, during the process we will ask you to provide your feedback, which is highly appreciated.
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 in general.
SimCorp is an independent subsidiary of the Deutsche Börse 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-in-class solutions to our clients.
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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