About Method

🔮 Founded in 2021, Method enables real-time access to user financial data and enables seamless liability repayment.

Method’s mission is to make personal finance more autonomous. With Method’s APIs, financial institutions, credit unions, banks, and financial management apps can embed loan repayment, data, balance transfers, and bill pay automation into their user journey. As a result, Method is improving accessibility and control over financial information via open finance.

We’re a Series A start-up and are backed by our partners, advisors, and investors from Andreessen Horowitz, Truist Ventures, Y Combinator, Ardent Ventures, Abstract Ventures, SV Angel, Truebill, Upstart, and more.

About our Team

As a small tight-knit team, we value finding team members who are passionate about building, scaling, all while having fun together! While we have our own roles to fill, we often find ourselves wearing multiple hats. No day is the same when you’re building from scratch. Some of us are based at Method HQ in Austin, TX and others are based in Washington D.C.

To learn more about us, check out our blog!

Location: Austin, TX., Washington D.C., or New York

The Impact

We are seeking a highly analytical Software Engineer, Data at Method. You will have autonomy over your projects, collaborate with the engineering, customer success, and business operations team to drive the development of cutting edge consumer finance products.

What you'll do

• Build, scale, and improve new applications that directly impact how the business (i.e. Sales, Customer Success, Finance, etc.) at Method operates

• Develop algorithms to transform data into actionable insights

• Analyze large volumes of high-velocity financial data to identify patterns and anomalies indicative of errors, utilizing statistical and machine learning techniques

• Develop canonical datasets to track key product metrics including user growth, engagement, and revenue

• Prepare, process, analyze, and visualize data, discovering patterns and trends and answering key questions along the way

• Write code to capture database performance, and create tools and dashboards to provide actionable insight into that data

• Collaborate with peers on architecture, design, and code reviews

Who you are

• 4+ years of software engineering experience, with deep experience working with the company’s data-centric products

• Experience with:

  • Programming Languages: Python, JavaScript, Spark

  • Data exploration tools: Grafana, Jupyter Notebooks, Metabase, Quicksight, PowerBI, or similar

  • Relational and non-relational databases, data lakes: MongoDB, Snowflake / Redshift

• Have the ability to work with a high degree of autonomy but also balancing out working dynamically with a wide range of people, both internally and externally

• Good understanding of financial data, machine learning algorithms, and frameworks

• Have strong communication skills, both verbal and written, and be able to work under pressure to solve technical problems for Method’s customers

• Follow the flow of data through various pipelines to debug data issues

• Collaborate with Method’s business groups, to drive end to end solutions

• Are curious how things work; when they break you are eager and able to help fix them

Extra awesome

• Experience in Financial Services / FinTech.

• Experience working at a smaller stage company / start-up environment

Disclaimer to Staffing/Recruiting Agencies:
Method Financial does not accept unsolicited resumes from recruiters or employment agencies in response to our Career page or a Method Financial social media/job board post. Method Financial will not consider or agree to payment of any referral compensation or recruiter fee relating to these unsolicited resumes. Method Financial explicitly reserves the right to hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted to hiring managers, are deemed to be the property of Method Financial.