Sr Manager, Data Science - Finance & Market Risk
Wealthsimple
Responsibilites
- Lead, coach, and mentor a high performing team of data scientists, analysts, and associates dedicated to Finance data science and Market risk initiatives.
- Deliver high-quality financial metrics and advanced analytics to support key decisions related to financial planning, treasury operations, and liquidity management.
- Develop and maintain the finance data mart, with a focus on optimizing data quality, accessibility, and efficiency.
- Develop and maintain dashboards to continuously monitor market conditions and client risk exposures and P&L. Maintain low-latency view with near real time data.
- Build and maintain risk metrics like VaR, as well as simulated stressed metrics like SVaR.
- Implement, develop and maintain IFRS9 ECL forecast models for our credit cards.
- Develop and maintain models and algorithms for capital efficiency: CDIC, collateral forecasts, credit card revenue, asset segregation, etc.
- Collaborate widely with various teams: Options Clearing, Cash & Collateral Management, and Margin Supervision, FP&A, Book of Record, Treasury .Act as a champion for your team’s successes, and promote their work toCommunicate and promote the work of your team to fellow data scientists and stakeholders.
- Attract, onboard, and retain top talent to grow your team, actively participating in the hiring process and developing succession plans for key roles. Attract and retain top talent to grow your team.
Requirements
- 3+ years of people leadership experience in a data science or analytics environment, with a proven ability to lead, develop, and scale technical teams.
- Exceptional coaching, mentoring, and problem solving skills, with the ability to navigate team dynamic and drive accountability.
- Hands-on experience with modern data engineering tools: git, dbt, fivetran, airflow, redshift, oracle, kafka.
- Hands-on experience with SQL and data visualization tools like preset, tableau, or similar.
- Experience with python
- Strong understanding of data science principles and methodologies, including predictive modeling and data visualization, as applied to customer service problem solving.
- Experience with data mart architecture/design, management and data quality assurance.
- Ability to translate business needs into data-driven solutions.
- Excellent communication and interpersonal skills.
- Ability to collaborate effectively with cross-functional teams.
- Experience in financial services or brokerage, ideally as a manager.
