Senior Data Modeler

We are

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets.

Our challenge

We are looking for an experienced Business Analyst/Data Modeler to join our Data and Architecture Services team within the Capital Markets Division. The successful candidate will be responsible for designing and implementing data models that effectively capture trade data across a diverse range of financial products. This role requires a blend of technical expertise in data modeling, deep knowledge of capital markets, and a strong understanding of trade data.

Additional Information

The base salary for this position will vary based on geography and other factors.  In accordance with law, the base salary for this role if filled within Toronto, ON/Halifax, NS is CAD $120k – CAD $130k/year & benefits (see below).

The Role

Responsibilities:

• Design and develop sophisticated data models for trade data related to various financial instruments, ensuring alignment with business needs and regulatory requirements.
• Work closely with the Director, Data and Architecture Services, Trade Data, to understand strategic objectives and contribute to the overall data architecture strategy.
• Collaborate with business analysts, data engineers, and IT teams to gather requirements and translate business needs into technical specifications.
• Create and maintain logical and physical data models, ensuring optimal performance and compliance with internal and external standards.
• Ensure data models are flexible and scalable to support the introduction of new products and adapt to changes in market practices.
• Manage metadata repositories and data dictionaries, promoting data quality and consistency across the organization.
• Review data models with stakeholders, validating design decisions and ensuring data integrity.
• Advise on data normalization, storage solutions, and efficient data retrieval methods.
• Participate in data governance initiatives, supporting the development and enforcement of data policies and standards.
• Stay abreast of industry trends, tools, and regulatory changes that impact data modeling and capital markets.

Requirements:

• Minimum of 5 years of experience in data modeling, with a strong preference for candidates with capital markets experience.
• Expert knowledge of financial products, trade lifecycle, and market data.
• Demonstrated experience in modeling trade data using industry-standard protocols and schemas such as FpML (Financial Products Markup Language), ISDA CDM (International Swaps and Derivatives Association Common Domain Model), FIX (Financial Information eXchange), SWIFT, or ISO20022.
• Proficiency in data modeling tools (e.g., ERwin, PowerDesigner, IBM Data Architect) and familiarity with database technologies (SQL, NoSQL).
• Experience with data warehousing, ETL processes, and big data platforms.

Preferred, but not required:

• Bachelor’s or Master’s degree in computer science, Information Systems, Finance, or a related field.
• Excellent analytical, problem-solving, and organizational skills.
• Effective communication skills, with the ability to interact with a variety of stakeholders.
• Understanding of financial regulations (e.g., GDPR, MiFID II, Dodd-Frank) and their impact on data management.
• Ability to work independently as well as collaboratively in a team environment.
• Relevant professional certifications (e.g., CFA, FRM) are considered an asset.

We offer:

• A multinational organization with 58 offices in 21 countries and the possibility to work abroad.
• 15 days (3 weeks) of paid annual leave plus an additional 10 days of personal leave (floating days and sick days).
• A comprehensive insurance plan including medical, dental, vision, life insurance, and long-term disability.
• Flexible hybrid policy.
• RRSP with employer’s contribution up to 4%.
• A higher education certification policy.
• On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.
• Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
• Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms.
• A truly diverse, fun-loving and global work culture.

S​YNECHRON’S DIVERSITY & INCLUSION STATEMENT
 

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

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