Alpaca is hiring a
Brokerage Operations Data Analyst

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Alpaca

💵 ~$300k-$350k
📍Remote - Worldwide

Summary

The job description is for a Brokerage Operations Data Analyst role at Alpaca, a fast-growing fintech company. The role involves analyzing data to drive operational efficiency, reduce risk, and inform policy decisions. The ideal candidate should have a bachelor's degree in a relevant field, 2-3 years of experience in data analysis, proficiency in data analysis tools, and strong communication skills.

Requirements

  • Bachelor’s degree in Finance, Business, Data Science, Statistics, or a related field
  • Minimum of 2-3 years of experience in data analysis, preferably within the financial services or brokerage industry
  • Proven track record of conducting complex data analyses to drive operational improvements and strategic decisions
  • Proficiency in data analysis tools and software such as SQL, Python, R, Excel, and data visualization tools
  • Strong understanding of financial markets, trading operations, and brokerage services
  • Strong communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders
  • Ability to work independently, manage priorities, and meet deadlines in a fast-paced environment

Responsibilities

  • Operational Efficiency Analysis: Analyze current operational processes to identify inefficiencies and recommend improvements
  • Risk Reduction: Conduct risk assessments and identify potential areas of operational risk. Develop and implement risk mitigation strategies using data analysis and predictive modeling
  • Growth Opportunity Identification: Analyze market trends, client behaviors, and trading patterns to identify growth opportunities. Provide insights and recommendations to the President and senior management to support strategic decision-making
  • Data Management and Reporting: Collect, organize, and analyze large datasets to provide actionable insights. Create and maintain dashboards and reports to track key performance indicators (KPIs) and other critical metrics
  • Ad Hoc Projects: Support various ad hoc projects as requested by the President or senior management. Provide data analysis and insights to support project goals and objectives
  • Collaboration and Communication: Work closely with different departments, including trading, compliance, IT, and client services, to gather necessary data and insights. Present findings and recommendations to the President and other senior leaders clearly and concisely

Preferred Qualifications

Advanced degrees or relevant certifications (e.g., CFA, FRM, Data Science certifications) preferred

Benefits

  • Competitive Salary & Stock Options
  • Benefits: Health benefits start on day 1. In the US this includes Medical, Dental, Vision. In Canada, this includes supplemental health care. Internationally, this includes a stipend value to offset medical costs
  • New Hire Home-Office Setup: One-time USD $500
  • Monthly Stipend: USD $150 per month via a Brex Card

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