BSA – Equities Trading Platform Digitization

BeachHead Inc.; Toronto; On-site; CAD 23,000 - 37,000; Full time

Job summary

BeachHead Inc. is seeking a data-driven Business Systems Analyst to support a client-facing equities trading platform digitization. You will analyze real-time data, specify data flows, and collaborate with front office and technology teams to enhance workflows and system integration.

Responsibilities include validating data exchanges, prototyping data-driven workflows, and ensuring accurate system communication across interconnected platforms using SQL and Python.

Qualifications

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Responsibilities

• Analyze real-time and transactional data to understand data flow and relationships
• Investigate system-to-system data exchanges to ensure data integrity
• Support external client-facing trading platforms and portals for seamless user experience
• Collaborate with front office to translate business needs into technical specs
• Work with SQL and Python to prototype and validate data-driven workflows
• Analyze data dependencies and integration points to aid system design
• Assist in optimizing data transformation, movement, and system communication
• Participate in cross-functional meetings to align business requirements with tech solutions
• Bridge communication between trading and technical teams with clear business language

Skills

SQL

Python

Data integration

BI reporting

Data architecture

Real-time data

Stakeholder comms

Tools

Databricks

Job description

Are you a data-driven Business Systems Analyst with experience supporting client-facing trading platforms?

Working with one of our top financial clients, this role calls for a BSA – Equities Trading Platform Digitization. This position involves supporting the digitization and enhancement of an equities trading platform, focusing on complex data analysis, system integrations, and improving client-facing workflows within a dynamic and evolving environment.

Pay rate range (CAD): $17.60/hr – $27.39/hr

Responsibilities

• Analyze real-time and transactional data to understand data flow, linkage, and relationships across interconnected systems


• Investigate system-to-system data exchanges, fields, attributes, and lineage to ensure data integrity and accuracy


• Support external client-facing transactional applications, portals, and digital platforms, ensuring seamless user interactions


• Collaborate with front office trading stakeholders to gather insights and translate business needs into technical specifications


• Work with data and technology teams to investigate, prototype, and validate data-driven workflows involving SQL and Python


• Understand and contribute to the system design by analyzing data dependencies, integration points, and downstream implications


• Assist in optimizing data management processes, including data transformation, movement, and system communication


• Participate in cross-functional meetings to ensure alignment between business requirements and technical solutions


• Help bridge communication between trading teams and technical teams, translating complex technical concepts into clear business language

Desired Skill-Set

• Strong experience working with large volumes of real-time, transactional data, with a focus on data flow and system integration


• Demonstrated experience supporting external client-facing trading platforms or portals


• Advanced SQL skills for data investigation, querying, and validation


• Familiarity with Python for data analysis and processing


• Understanding of modern data platform concepts, including data architecture layers and system integration


• Experience with data transformation, movement, and BI/reporting tools


• Ability to understand complex systems, data structures, and workflows, and to communicate effectively with both technical and non-technical stakeholders


• Excellent problem-solving and analytical skills with a solution-oriented mindset


• Strong stakeholder management and communication skills, especially with front office trading teams

Nice to Have

• Capital markets, equities, or electronic trading experience


• Brokerage platform background


• Experience with modern cloud data platforms such as Databricks


• Familiarity with Medallion architecture


• Exposure to AI-enabled workflows or knowledge agents


• BI or dashboard integration experience


• Prior experience supporting client-facing trading applications or portals

BeachHead is an equal opportunity agency and employer. We advocate for our candidates and welcome applicants regardless of race, colour, religion, national origin, sex, age, or physical or mental disability. BeachHead or our clients may use technology-enabled tools, including automation and artificial intelligence (AI), to support parts of the recruitment process such as resume screening, application management, and candidate matching. These tools assist our recruiters and our clients, and do not replace human decision-making. This job posting represents a current or anticipated vacancy. The position may be filled at any time, and the posting may be removed without notice once the role has been filled.