At a Glance
- Tasks: Monitor and validate data models while tackling financial crime challenges using advanced analytics.
- Company: Join a leading financial firm focused on innovation and AI initiatives.
- Benefits: Competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with a commitment to diversity and inclusion.
- Why this job: Make a real impact in the financial sector with cutting-edge technology and data science.
- Qualifications: 2+ years in data science, proficiency in Python and SQL, and strong analytical skills.
Are you a passionate Data Scientist ready to make an impact? Working with one of our top financial clients, this role calls for a Data Scientist - Model Validation/Financial Crimes. This position involves supporting model health, monitoring, governance, and stakeholder engagement within a regulated environment, offering opportunities to work on innovative AI initiatives and advanced analytics projects.
Pay rate range (CAD): $57.42/hr - $68.90/hr
Responsibilities
- Execute ongoing monitoring activities across a portfolio of production models using Python, SQL, Databricks, and PySpark.
- Analyze large datasets to evaluate model performance, stability, data quality, and operational outcomes.
- Investigate threshold breaches, data anomalies, and emerging risks; develop reports and dashboards for stakeholders.
- Support model onboarding, validation, reviews, updates, and remediation efforts.
- Maintain accurate governance documentation, including Model Development Reports and Monitoring Plans.
- Coordinate responses to validation, compliance, audit, and regulatory inquiries.
- Serve as a liaison between Business Owners, Model Vendors, Validation teams, and Technology partners.
- Facilitate governance discussions and ensure alignment across stakeholders.
- Identify process improvement opportunities and support automation initiatives with Python, SQL, and Databricks.
- Contribute to emerging AI and advanced analytics governance activities.
Desired Skill-Set
- 2+ years of experience in data science, model governance, or related fields.
- Proficiency in Python and SQL.
- Hands-on experience with Databricks, PySpark, and large-scale data processing.
- Strong understanding of machine learning methodologies, including supervised and unsupervised techniques.
- Ability to communicate complex concepts to non-technical stakeholders.
- Excellent documentation, presentation, and interpersonal skills.
Nice to Have
- Experience collaborating with Model Validation, Compliance, or Audit teams.
- Experience reviewing third-party vendor models.
- Prior banking, financial services, or institutional experience.
BeachHead 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.
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.
Data Scientist 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.
