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. 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. BSA with a strong background in capital markets and financial data.
The ideal candidate will have significant experience in designing, implementing, and optimizing data models, as well as expertise in financial products and trade data modeling. In accordance with law, the base salary for this role if filled within Toronto, ON is CAD $125k - CAD$135K/year \& benefits (see below). 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.
Design, develop, and implement data models for financial products, ensuring that they meet business and regulatory requirements. Model trade data using industry-standard protocols and schemas such as FpML, ISDA CDM, FIX, SWIFT, and ISO20022. Work with stakeholders to understand business requirements and translate them into efficient and scalable data models.
Collaborate with cross-functional teams (including data architects, developers, and business analysts) to ensure the seamless integration of data across various platforms. Manage and optimize data warehousing and ETL processes, ensuring high-quality, reliable data for analytics and reporting. Maintain and enhance existing data models, ensuring their accuracy and alignment with evolving business needs.
Ensure compliance with financial regulations (e.g., GDPR, MiFID II, Dodd-Frank) and incorporate those into data management strategies. Provide technical leadership and guidance to junior data modelers and other team members. 8 Years Business analyst experience, including data analysis experience, such as assessing the data, performing data mining \& mapping, defining data lineage \& transformation rules.
ideally with experience in other asset classes as well (Fixed income, commodities, multi-asset), including pricing, risk and P\&L. A good understanding of P\&L analysis, attribution, risks, Greeks, and VaR. Comfortable with SQL.
Experience with various regulatory risk reporting, (FRTB, Volcker, etc..) General knowledge of front-to-back trade lifecycle: risk frameworks, market data, funding, collateral management, trade execution venues, etc. Experience with Python or other programming languages. A comprehensive insurance plan including medical, dental, vision, life insurance, and long-term disability.
\~ Flexible hybrid policy. \~ 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. \~ SYNECHRON'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.
