Join some of the most creative thinkers in FinTech as we lead the evolution of financial technology. 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.) Moreover, this role is responsible for answering client questions and conducting all necessary data analyses of financial instruments data to resolve service delivery incidents and ensure continued service delivery.

The role is also responsible for adhering to all relevant operational risk, data governance and quality frameworks. Finally, this role requires a client‑focused mindset, substantial knowledge of financial instruments, and coaching of other members. Execute all daily service deliverables in terms of collecting, composing, controlling and distributing financial instrument data according to effective client SLAs.

Execute all quality checks part of the service scope and strictly adhere to existing runbook(s) as well as data quality and governance frameworks, conducting 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 with 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 that 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.

Experience with data vendor feeds (Bloomberg, IDC, Reuters, etc.) Bachelor's 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.

Requirements engineering and data modelling experience, 1-2 years.

Experience with service request systems or other similar ticketing tool, like HPALM, ServiceNow, etc., The salary range for this position is $101,760 - 139,920 CAD annual. Additionally,



employees are eligible for an annual discretionary bonus and benefits including health and dental care, time off and Group RRSP/TFSA. Please send us your application in English via our career site as soon as possible; 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.

SimCorp is on an exciting growth journey, and our Talent Acquisition Team is ready to assist you in discovering the right role for you. 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.

We are eager to continually improve our talent acquisition process and make everyone’s experience positive and valuable. 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.

We are committed to building a culture where diverse perspectives and expertise are integrated into our everyday work. Our hiring process uses AI‑enabled tools to support the screening and assessment of applications. 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.

📌 Senior Data Analyst (Finance & Accounting) (Toronto)
🏢 Simcorp
📍 Toronto