The business is seeking to accelerate product growth through world-class experimentation, analysis, and data-informed strategy in its brokerage business.
Requirements
- Strong data wrangling skills to produce analytics insights by exploring large scale data sets using SQL, python or Spark.
- Solid understanding of statistics.
- Practical experience in AB testing and causal inference.
- Experience in the finance industry, such as with a broker-dealer, market maker, or investment manager, with a strong passion for trading, investing, and financial markets.
- Deep knowledge of quantitative finance modeling.
- Graduate degree in a quantitative field such as Statistics, Economics, Mathematics, Finance, Engineering, or a related field.
- 5+ years of experience in product data science within a fast-paced, high-tech environment.
Responsibilities
- Perform deep-dive analyses to identify product growth opportunities and drive improvements in core business metrics.
- Design, plan, implement, and analyze A/B experiments, and conduct causal inference analysis to evaluate product changes.
- Define and maintain key product performance metrics; build scalable dashboards to monitor these metrics and inform decision-making.
- Create compelling data visualizations and narratives to effectively communicate insights and recommendations to cross-functional partners, stakeholders, and senior leadership.
- Lead and implement large-scale analytics projects to uncover user insights, inform product strategy, and deliver measurable business impact.
- Partner closely with Product, Engineering, Operations, and other cross-functional teams to integrate data-driven decision-making into product and business processes.
- Mentor other data scientists, contribute to standard methodologies, and help foster a data-informed culture across the organization.
Other
- Graduate degree in a quantitative field such as Statistics, Economics, Mathematics, Finance, Engineering, or a related field, with 5+ years of experience in product data science within a fast-paced, high-tech environment.
- Proven track record of initiating and executing large, complex deep-dive analyses that uncover insights and drive business impact.
- Strong product sense and ownership, with experience influencing cross-functional partners and shaping the product roadmap through data-driven insights.
- 100% paid health insurance for employees with 90% coverage for dependents
- Annual lifestyle wallet for personal wellness, learning and development, and more!
- Lifetime maximum benefit for family forming and fertility benefits
- Dedicated mental health support for employees and eligible dependents
- Generous time away including company holidays, paid time off, sick time, parental leave, and more!
- Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits
