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Senior Financial Data Engineer Jobs in Toronto, ON

WHY THIS ROLE IS IMPORTANT TO US This position is for an existing vacancy of Lead Financial Data ... Requirements engineering and data modelling experience, 1-2 years * Experience with EDM platforms ...

At Sun Life, we're driven by our Purpose: helping our Clients achieve lifetime financial security ... This Senior Business data engineer will play an indispensable role in assembling the necessary data ...

At Sun Life, we're driven by our Purpose: helping our Clients achieve lifetime financial security ... This Senior Business data engineer will play an indispensable role in assembling the necessary data ...

Senior Data Engineer

Toronto, ON · Remote

CA$110K - CA$145K/yr

SENIOR DATA ENGINEER- Toronto ( 3 days downtown/Hybrid) Our client is interviewing to onboard a ... Financial services experience is a MUST. Screening Questions: 1-How proficient are you with ...

Role Summary The Senior Data Engineer will join the Software Engineering team that leads the ... Experience in the financial services or investment industry is preferred. * Strong understanding of ...

Data Engineer III

Toronto, ON

CA$96K - CA$136K/yr

We are hiring a Senior FinOps Data & Automation Engineer to build the data, automation, and ... The successful candidate will work closely with FinOps, Finance, Engineering Analytics, Cloud ...

Job Title: Sr. Data Engineer with Snowflake and DBT Skills: Snowflake, DBT ,Python/ Java, SQL Experience: 12+ years Location: Markham, ON (Hybrid) Duration: Fulltime We at Coforge are hiring a Sr. ...

New

You will be a core contributor to our real-time operational efficiency platform and financial ... A "Day in the Life" of a Senior Data Engineer: * Design, develop, and maintain scalable, real-time ...

Senior Data Engineer

Toronto, ON · Hybrid

CA$100/hr

Senior Data Engineer Structure: Hybrid (2 days onsite / 3 days remote) - Toronto Duration: 6-Month Contract Pay Rate:up to $100 INC p/h -- We have a great new opportunity to support one of our ...

... engineering, or analytics leadership roles, with at least 5 years in a senior/executive capacity Deep understanding of financial markets data (equities, fundamentals, forex, crypto, or economic data ...

Propel (TSX: PRL) is the fintech company building a new world of financial opportunity by ... Partner with Finance, Data Engineering, Analytics, and application teams to resolve data issues ...

Sr Data Engineer, Specialist

Toronto, ON · On-site

CA$90K - CA$140K/yr

We are looking for a Sr Data Engineer with in-depth expertise in AWS, Databricks, and modern data ... Experience in asset management, wealth management, or financial services (ETF, Mutual Funds, CRM, ...

New

Senior Data Engineer - JLL What this job involves: As a Senior Data Engineer at JLL, you will leverage advanced technical expertise and enterprise-focused thinking to drive AI-powered automation that ...

We're seeking a Senior Data Engineer to join our Delivery Team. In this role, you'll design and implement modern data architectures that enable our clients to make data-driven decisions. You'll lead ...

We're seeking a Senior Data Engineer to join our Delivery Team. In this role, you'll design and implement modern data architectures that enable our clients to make data-driven decisions. You'll lead ...

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Senior Financial Data Engineer information

What does a senior financial data engineer do?

A Senior Financial Data Engineer designs, builds, and manages data infrastructure specifically for financial systems and organizations. They work with large volumes of financial data, ensuring its quality, security, and accessibility for analysis and reporting. This role often involves collaborating with data scientists, analysts, and business stakeholders to create pipelines and tools that support financial modeling, risk assessment, and business intelligence. Senior Financial Data Engineers also play a key role in implementing best practices for data governance and regulatory compliance.

How does a senior financial data engineer typically collaborate with cross-functional teams in a financial organization?

A Senior Financial Data Engineer often works closely with data analysts, financial modelers, software developers, and business stakeholders to design and implement robust data pipelines and solutions. Collaboration involves translating business requirements into technical specifications, ensuring data quality and compliance, and enabling seamless data integration across platforms. Regular meetings and agile ceremonies are common, fostering open communication and fast adaptation to changing business needs. This cross-functional teamwork is crucial for delivering accurate, timely financial insights and supporting strategic decision-making.

What are the key skills and qualifications needed to thrive as a senior financial data engineer, and why are they important?

To thrive as a Senior Financial Data Engineer, you need advanced knowledge in data engineering, financial data modeling, and programming languages such as Python or Scala, usually supported by a degree in computer science, finance, or a related field. Familiarity with big data platforms (like Hadoop or Spark), cloud services (AWS, Azure, or GCP), and data warehousing solutions, along with certifications in relevant technologies, are typically required. Strong problem-solving, communication, and project management skills distinguish top performers in this role. These competencies are crucial for efficiently transforming complex financial data into actionable insights and ensuring accuracy, security, and scalability in financial systems.

What is the difference between Senior Financial Data Engineer vs Financial Data Engineer?

AspectSenior Financial Data EngineerFinancial Data Engineer
Required CredentialsBachelor's/Master's in Computer Science, Finance, or related; experience in data engineeringBachelor's in relevant field; entry-level experience in data engineering
Work EnvironmentFinancial institutions, investment firms, banksFinancial firms, fintech companies, data consultancies
Employer & Industry UsageUsed in finance-heavy roles requiring advanced data skillsEntry to mid-level roles in finance and data sectors

The main difference is experience level and responsibility. Senior Financial Data Engineers handle complex data projects, mentor teams, and have more strategic input, while Financial Data Engineers focus on building and maintaining data pipelines at an entry or mid-level. Both roles require strong technical skills and finance industry knowledge, but the senior role involves leadership and advanced problem-solving.

What are the most commonly searched types of Financial Data Engineer jobs in Toronto, ON?

The most popular types of Financial Data Engineer jobs in Toronto, ON are:

What are popular job titles related to Senior Financial Data Engineer jobs in Toronto, ON?

For Senior Financial Data Engineer jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Senior Financial Data Engineer jobs in Toronto, ON look for?

The top searched job categories for Senior Financial Data Engineer jobs in Toronto, ON are:

Senior Financial Data Analyst

AIM Software

Toronto, ON

CA$88K - CA$133K/yr

Full-time

Medical, Dental

Re-posted 26 days ago


Key responsibilities

  • Execute the collection, composition, control, and distribution of financial instrument data according to client SLAs.

  • Perform data quality checks, analyze data behavior, and resolve data questions and service requests to ensure service delivery and client satisfaction.

  • Monitor and report issues in the data supply chain, maintain documentation, and support continuous process improvement.


Job description

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

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 of the effective SLA agreements.

Furthermore, this role is responsible to answer 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

  • 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

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, 3+ 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

  • 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 any other similar ticketing tool, like HPALM, Service Now, etc., 4-5 years

BENEFITS

The salary range for this position is $88,960.00 - $133,440.00 CAD Annual 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 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 Borse 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 AIenabled 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 AIassisted 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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