Senior Risk Analytics Engineer

March 12

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Pipe

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Pipe is a company specializing in embedded financial solutions. They offer customer-friendly financial tools integrated into the software that businesses use daily, providing streamlined access to capital through their platform. Pipe's solutions include embedded capital and branded business card offerings, allowing businesses to offer seamless financial services to their customers. They work with partners across various industries, including vertical SaaS and payments platforms, to deliver these advanced financial solutions. Pipe aims to drive growth by simplifying the complexities of financial products, enabling their partners to focus on customer needs.

Growth Financing • Startup Financing • Growth Capital

51 - 200 employees

Founded 2020

☁️ SaaS

💸 Finance

💳 Fintech

📋 Description

• Pipe is building cutting edge embedded financial solutions to help small businesses and software companies build something bigger. • We are hiring a Senior Analytics Engineer to join our Risk team. • This role will focus heavily on data modeling to support our risk business analysts, who are responsible for using dashboards to regularly analyze and report on credit risk and underwriting. • You will design and develop data models using SQLMesh to support risk business analysts, create reports, construct dashboards, evaluate key metrics, and perform ad hoc analysis using SQL or Python. • You will collaborate closely with the Data Science and Data Engineering teams to ensure our data infrastructure is as self-service as possible. • Currently our data stack is mostly comprised of: Data Analytics: Preset, Hex; Data Warehouse: Google BigQuery; Data Modeling: SQLMesh; MLOps: Chalk, Metaflow. • We do not expect you to have experience with all of these tools. Experience with similar tools like Tableau, Amazon Redshift, or dbt are good indicators that you’d be comfortable with our stack. • Pipe is a remote company with hubs in SF, Atlanta, and New York. We have large scale challenges to tackle in multiple areas, and we invest heavily in the developer experience. • We believe great engineers are capable of learning new things, and you will receive mentorship and guidance as needed. • Responsibilities include collecting and integrating data from various sources, designing and developing efficient data pipelines, working closely with credit analysts and data scientists, automating data processing tasks, and collaborating with engineering teams.

🎯 Requirements

• 3-5+ years of experience writing well-structured, performant SQL and advanced Python • 3+ years of experience in database schema design and data modeling • 3+ years of experience building data models and data pipelines on top of large datasets • Track record of following data modeling standards and best practices • Proficiency in common engineering tools such as Git, Jira, Unix-based operating systems, etc. • Experience with common data visualization tools such as Tableau, Superset, or Looker • Passionate about extracting and communicating insights to support the business • Prefer familiarity with concepts such as decision models, features, portfolio performance • Experience in an agile team and collaborating asynchronously • Curious and eager to learn

🏖️ Benefits

• The best equipment to help you do your job: computers, monitors, desks, chairs, headphones, speakers, webcams, keyboards, mice, etc. • Flexible vacation and work hours. We believe in a healthy work-life balance (really!) • Excellent health, dental, and vision insurance. • Generous parental leave for anyone who is growing their family, regardless of gender. • Great colleagues! We value a culture of authenticity, humility, and excellence. We want you to make a mark on our culture. • Lifetime maximum benefit for family forming and fertility.