At a Glance
- Tasks: Analyze large datasets and develop AI use cases in equity markets.
- Company: Join a leading financial client focused on innovative data solutions.
- Benefits: Competitive pay, flexible work environment, and opportunities for growth.
- Other info: Collaborative team culture with a focus on emerging technologies.
- Why this job: Make an impact with AI in the fast-paced world of equity markets.
- Qualifications: 3-5 years in data analytics, strong Python and SQL skills required.
The predicted salary is between 70 - 70 $ per hour.
Are you a data professional with AI expertise looking to make an impact in equity markets?
Working with one of our top financial clients, this role calls for a Data Scientist (Banking/Python/AI) to support emerging AI-driven data intelligence initiatives within Capital Markets.
This position involves leveraging large datasets within the Azure Databricks ecosystem to identify opportunities, develop AI use cases, and deliver actionable insights for business stakeholders.
Pay rate range (CAD): $70.00/hr – $80.00/hr
Responsibilities
- Analyze large datasets within Azure Databricks to identify trends, insights, and business opportunities.
- Support the development of AI and Gen AI use cases across Equity Markets.
- Use Python to prepare, clean, transform, and analyze data for AI applications.
- Collaborate with business stakeholders to understand opportunities for process improvement through AI.
- Research, evaluate, and summarize information using AI-enabled solutions.
- Prepare datasets and workflows supporting large language models and AI models.
- Extract actionable insights from complex data and communicate findings effectively.
- Support experimentation with AI tools such as Microsoft Copilot Studio, Lang Chain, or similar platforms.
- Collaborate with data engineers and technology teams to leverage Azure Databricks as the enterprise data platform.
- Desired Skill-Set
- 3–5 years of experience in data analytics, business intelligence, or data science roles.
- Strong hands-on experience with Python and SQL.
- Proven ability to extract insights from large datasets.
- Experience supporting AI, machine learning, or Gen AI initiatives.
- Familiarity with Azure Databricks preferred.
- Analytical mindset with ability to translate business needs into technical solutions.
- Degree in a quantitative discipline (e. g., Computer Science, Mathematics, Statistics, Engineering, Economics, Physics, Business).
- Nice to Have
- Experience with Generative AI platforms such as Microsoft Copilot Studio or Lang Chain.
- Knowledge of other LLM/AI frameworks.
- Previous data scientist experience.
- Power BI proficiency.
- C# programming skills.
- Capital Markets or Equity Markets experience.
Beach Head is an equal opportunity agency and employer.
We advocate for our candidates and welcome applicants regardless of race, color, religion, national origin, sex, age, or physical or mental disability.
Beach Head 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.
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Data Scientist, Equity Markets Technology in Toronto employer: BeachHead Inc.
At BeachHead, we pride ourselves on fostering a dynamic and inclusive work environment that empowers our employees to thrive. As a Senior Swaps Business Analyst, you will have the opportunity to collaborate with top-tier professionals in the financial sector, driving innovation in electronic trading and enhancing trading workflows. Our commitment to employee growth is reflected in our supportive culture, where continuous learning and development are encouraged, making us an exceptional employer for those seeking meaningful and rewarding careers in the heart of capital markets.
