San Francisco, California
Sitting at the intersection of technology and finance, we are an innovative technology underwriting startup managing a credit portfolio of $2.5BN+ on behalf of our investors, many of whom are non-profits, educational endowments, and pension funds. We combine quantitative research-machine learning and data science, software engineering, and rigorous scientific investigation-to build credit portfolios that produce strong and consistent yields across business cycles.
Our firm is 30+ professionals working in San Francisco (HQ) and remote locations. We are passionate, hard-working, relentlessly-resourceful, impact-focused individuals. We deeply value intellectual curiosity, creative idea generation, empathy, and close collaboration. We have (currently virtual) coffee hours, game nights, and team get-togethers. Company events are inclusive and fun, with expeditions to food trucks, Michelin-starred local restaurants, and annual retreats featuring hiking and cooking. About the role: As a Senior Data Engineer, you will bring subject matter expertise in Data Engineering at Theorem. A unique aspect of this position is you may work alongside every person on our team: quantitative researchers who are our data scientists, and colleagues in finance and operations, investor relations and sales, capital markets and partnerships as well as the firm’s leadership. Your job is to develop the systems and data pipelines that enable the shared data asset informing every decision of the firm. Applicants must be authorized to work in and currently living in the United States, preferably in the Bay Area, or New York or Los Angeles metro areas. Responsibilities:
Technically, you will own:
Brings expertise in a few of the following areas:
Our typical interview process takes about 3 weeksSQL, Python, Spark, Redshift, ETLSQL, Python, Spark, Redshift, ETL, Docker, Kubernetes, Jupyter, Tableau, Looker