Senior Quantitative Engineer

Kunai

About The Position

Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. Together, we are changing the world’s relationship with financial services. At Kunai, we help our clients modernize, capitalize on emerging trends, and evolve their business for the coming decades by remaining tech-agnostic and human-centered. Kunai is partnering with a leading global technology company to hire a Quantitative Engineer. In this role, you will work closely with cross-functional teams to build and automate data pipelines, analyze large-scale datasets from a variety of products, and develop dashboards that help legal and business partners make data-driven decisions using SQL, Python, R, and advanced quantitative techniques. Our success over the past 20 years is rooted in our exceptional team, which thrives in a culture of collaboration, creativity, and continuous learning. We are proud to offer our employees a range of benefits, including competitive compensation, professional development opportunities, and flexible work arrangements, all designed to help them thrive. As we continue to expand, we remain committed to cultivating an environment where people feel valued, have a voice, and are given the tools to grow—both personally and professionally—while pushing the boundaries of innovation in the fintech industry.

Requirements

3+ years of experience doing quantitative analysis
Bachelor's Degree in a Quantitative or Technical field
SQL, Excel, and data analysis experience
Python/R scripting experience
Experience with distributed computing (Hive/Hadoop)
Experience with Unix/Linux
Experience initiating and driving projects to completion with minimal guidance
Experience working cross-functionally and communicating technical content to general audiences

Nice To Haves

MBA or Masters in a technical discipline
PHP experience
Experience working with non-technical partners

Responsibilities

Collect data from products across the company (Search, messages, Instagram, ads etc.) for use in legal matters
Automate analyses and author pipelines via SQL and Python based ETL framework
Build dashboards to bring your pipelines to life for non-technical partners
Stay up to date on new structured data sources within the Company as they are developed and help non-technical partners understand the use and content of these sources
Create and maintain internal documentation on pipelines, tools, data sets. This is a highly collaborative and cross-functional role:
Partner with lawyers across the Legal department to understand their data needs
Partner with economic consultants to develop product and financial models
Partner with data science teams to ensure accuracy of analyses
Partner with infrastructure and data engineers to manage large data sets effectively