SquarePeg Blog

May 14, 2025

Reducing Manual Resume Review From Hours to Seconds

How Nymbus Used SquarePeg to Cut Resume Review Time from Hours to Seconds While Managing 800+ Applications per Role

NYMBUS AT A GLANCE

Company: Nymbus is a growing fintech company that provides banking technology solutions, with a lean recruiting team managing hiring for both technical and non-technical roles.
Company Type: FinTech
Products Used: AI Resume Screening Tool
ATS: Greenhouse
Employees: 280 employees

"Pulled up the lead Python role, and, out of the 800 candidates, I went to the eligible, and SquarePeg showed 39 or 40 based on the criteria that I put in there. And I quickly just went through and saw their titles and which ones I wanted to call on, and it took, you know, ten seconds."

When you're operating with a lean recruiting team of just two people, the last thing you need is thousands of applications to sift through. We caught up with Bill Curtiss from Nymbus, a growing fintech company, to discuss how SquarePeg transformed their approach to screening both technical and customer service roles.

Problem: Overwhelming Volume and Resource Constraints

In thinking about their recruiting challenges before implementing SquarePeg, Bill shared several key pain points that were significantly impacting their hiring process:

Massive Application Volumes: For customer service roles, Nymbus would receive thousands of applications, making thorough review practically impossible for their small team.

Technical Role Complexity: For specialized positions like Lead Python Developers, they faced up to 800 applications per role, with the added challenge of separating legitimate candidates from AI-generated or fake profiles.

Limited Resources: With just two recruiters handling all positions across the US and Mexico, and Bill juggling responsibilities beyond recruiting, time was at a premium.

"I'll spend time setting up a call with somebody, going to LinkedIn profile, trying to decipher if they're a real person, and then get them on the phone, and they're in no way matched up to the actual profile I had," Bill explained, highlighting the frustration of wasted time on fraudulent applications.

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Solution: AI-Powered Screening That Works for Both Technical and Non-Technical Roles

SquarePeg provided Nymbus with a solution that dramatically improved their screening efficiency:

1. Instant Identification of Qualified Candidates

For roles with hundreds of applicants, SquarePeg immediately surfaced the most qualified candidates based on specific criteria.

2. Effective for Both Technical and Non-Technical Positions

Unlike many screening tools, SquarePeg proved valuable across Nymbus's diverse hiring needs.

"SquarePeg works for both technical and nontechnical roles. When hiring technical roles, there are certain nuances that are different. Like, for example, some engineering teams require core banking experience for all of their full stack developers and others do not. But in those cases SquarePeg can differentiate and be able to score the right types of profiles towards the top."

3. Responsive Feature Development

The platform continues to evolve based on customer feedback, addressing specific challenges faced by Nymbus.

"What I do like and I appreciate is how fast SquarePeg builds new features. I'll ask the team on a call for something new, and then your product team will unveil it in the next wave of updates. Clearly the feedback is being heard and SquarePeg is constantly updating, which I appreciate."

Impact: From Hours of Screening to Seconds

SquarePeg has delivered significant benefits to Nymbus's recruiting process:

Dramatically Reduced Screening Time

What would have taken hours of Boolean searching and manual review now takes seconds, allowing Bill to focus on candidate engagement rather than resume screening.

"SquarePeg has been really helpful for customer service roles, like our digital experience role. I have thousands of applicants in there. So putting in the requirements, it quickly surfaced the top applicants. We end up hiring a couple of them just right away from that initial review."

Immediate Hiring Success

After implementing SquarePeg, Nymbus quickly saw tangible results across different position types.

"After using SquarePeg for a customer service role, I tried it with a technical Python role and immediately moved two candidates forward that our hiring manager really liked."

Increased Trust in AI-Driven Recommendations

Over time, Bill has developed confidence in SquarePeg's ability to identify qualified candidates.

"On the lead Python role, I just went to the eligible applicants SquarePeg recommended because they were good, in my opinion. So I didn't want to even bother with the ineligibles."

Foundation for Scalable Growth

As Nymbus continues to grow, SquarePeg has become a critical tool for their recruiting strategy.

"I will definitely use SquarePeg more as we scale. If we had a lot more roles at one given time, I think we could lean on SquarePeg heavier because it would mean we'd have different types of roles. And it would be a huge time saver just to get those profiles towards the top."

"No doubt that SquarePeg will help me speed up time-to-fill. I think that's what my biggest issue is. As soon as I post a role, I review the right requirements that we need, and then it's already scored in SquarePeg, it already did the calculations. It'll definitely help speed that up."

For Bill and the Nymbus team, SquarePeg has transformed a previously overwhelming process into one that is manageable and efficient, despite their limited resources.

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