Senior Financial Data Analyst

SimCorp

Toronto

On-site

CAD 101,760 - 139,920

Full time

14 days+

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Benefits offered by this job

Health and dental care
Annual discretionary bonus
Group RRSP/TFSA

Job summary

A leading financial technology firm is seeking a Lead Financial Data Analyst to manage the collection and analysis of financial instrument data for clients. The role emphasizes ensuring data quality and compliance with operational frameworks. Ideal candidates will have strong expertise in financial data, vendor feeds, and operational data management. This position offers a competitive salary range of CAD 101,760 - 139,920 along with benefits including health care and an annual bonus.

Qualifications

  • 5-7 years experience with data vendor feeds.
  • Knowledge of structured securities and complex instruments.
  • Experience with data governance and data quality processes.

Responsibilities

  • Execute daily service deliverables for financial instrument data.
  • Conduct quality checks and adhere to data governance.
  • Resolve data questions and support client service requests.
  • Maintain documentation of business processes and operational runbooks.

Skills

Experience with data vendor feeds
Deep knowledge of financial instruments
Solving master and reference data issues
Applying operational data management
Process design and engineering
Process Management
Requirements engineering
Experience with EDM platforms
Experience with service request systems

Education

Bachelor's degree in finance or engineering

Job description

What Makes 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!

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 with the effective SLA agreements. 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.

What You Will Be Responsible For
  • 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.
  • 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
  • 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.
  • 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.
  • 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 other similar ticketing tool, like HPALM, ServiceNow, etc., 4-5 years.
Benefits

The salary range for this position is $101,760 - 139,920 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. 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. If you are interested in being a part of SimCorp but are unsure if 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 in discovering 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 HumanResourcesNA@simcorp.com.

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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