Role Overview
We are seeking a technically proficient, creative, and detail-oriented Senior Engineer within our Webscraping team. With thousands of novel and unstructured datasets being used on a daily basis in our investment strategies, this role is crucial in helping our portfolio managers find a competitive advantage. You will manage and work alongside a team of data engineers to build advanced collection systems for BAM's proprietary data efforts, drawing upon your passion of AI / ML to create high capacity, low latency systems that enable our researchers and analysts to gain deeper insights.
Team's Key Responsibilities
• Tool Development: Design, develop, and deploy Agentic applications to extract to collect and standardize unique data for our investment researchers and quants.
• Process Improvements: Analyze existing processes and identify areas where AI/ML can be applied to improve accuracy, speed, and efficiency.
• Technology Infrastructure: Work our technology and data partners to build and maintain robust scraping infrastructure that supports these efforts.
• Performance Optimization: Continuously evaluate and refine models and algorithms to ensure optimal performance and alignment with business goals.
• Offshore Management: Partner with the firm's offshore resources to scale human in the loop data validation and collection.
• Collaboration: Partner with portfolio managers, analysts, and other stakeholders to understand business needs and translate them into technical solutions.
• Research and Innovation: Stay abreast of the latest developments in technologies and identify innovative approaches to enhance our competitive edge.
Minimum Qualifications
• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics or a related field, preferably within tech company.
• 7-10+ years of software development experience.
• Strong proficiency in Python (including pandas) and SQL/Database skills.
• Experience with agentic coding (e.g., Claude Code, MCPs, skills, subagents).
• Experience with data pipelines (Airflow, Kafka).
• Experience with web technologies (HTML/JS, APIs) and networking.
• Strong understanding of data structures, algorithms, and statistical methods.
• Excellent verbal and written communication skills.
Preferred Qualifications
• Prior experience in multi-strategy hedge funds or similarly complex investment organizations.
• Experience designing infrastructure, data products, and tools for Analysts, Quants, and Data Scientists.
• Proficiency in containerizing workloads with Docker (Kubernetes experience is a plus).
• Familiarity with cloud technologies, particularly AWS.
Soft Skills
• People leadership and coaching skills.
• Strong problem-solving and analytical skills.
• Excellent communication and interpersonal skills.
• Ability to work independently and as part of a team.
• Demonstrated ability to manage multiple projects and meet deadlines.
