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Senior Manager, Collections and Recoveries Strategies

Fundbox Inc. · New York, NY telecommuting permitted

Education
Bachelor's in Business, Finance, or related field
Experience
60 months
Wage
$185,702–$225,000 per year (from the posting)
First / last seen
2026-09-30 / 2026-10-15

Experience must include

Collections & Recoveries strategycompliance and risk managementSQLPythonExcelTableaucross-functional collaborationrapport buildingdelivering insights to executive leadershipworking with ambiguous problems

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Where this job is advertised

National Labor Exchange (state job banks, via usnlx.com search) swa live
first seen 2026-09-30 · posted 2026-09-30

Original posting ↗

Application instructions (verbatim)

Please send c.v. to Brody Hickey brody.hickey@fundbox.com#LI-DNI

This source's terms don't allow us to republish the full ad; read it at the original posting. Signed-in applicants see the full text on their fit page.

State job banks via NLx, all orders (NY, CA, TX, GA, FL) swa live
first seen 2026-10-01 · posted 2026-09-30

Original posting ↗

Application instructions (verbatim)

Please send c.v. to Brody Hickey brody.hickey@fundbox.com#LI-DNI
Full posting text
Senior Manager, Collections and Recoveries Strategies
Fundbox — New York, NY

Senior Manager, Collections and Recoveries Strategies (Fundbox Inc.)(New York, NY): Operating as a core member of the overall credit analysis and risk management team responsible for developing and implementing strategies that will improve business performance; Owning the credit strategy and analytics for Collections (past due) and Recoveries (charged-off) strategy that directly contributes to portfolio performance and the company's bottom line by optimizing resource allocation, improving recovery rates, and reducing financial losses; Leveraging data in a manner that prioritizes accounts, personalizes collection efforts, and predicts risks for the purposes of increasing the company's overall efficiency, enhancing revenue, and minimizing bad debt, thereby transforming collections from a cost center into a strategic function that positively impacts portfolio profitability; Identifying business challenges and opportunities for improvement, in addition to solving such issues using specific analytic methods to make strategic or tactical recommendations; Developing credit frameworks for the company's loss mitigation strategies, including building, monitoring, and reporting findings through credit analysis, so as to ensure that proactive management is consistently practiced to demonstrate responsible lending and compliance practices; and Building, evaluating, managing, and presenting key credit metrics to both our partners, as well as with the company's Product, Technology, Operations, Compliance and other teams to improve the credit performance of the group. The following skills and experience is required in order to complete the above-mentioned tasks: Experience with developing Collections & Recoveries strategy; Experience with compliance and risk management for commercial or consumer lending environments; Experience pulling and joining large data sets with SQL and performing analysis using tools such as Python, Excel, and Tableau; Experience collaborating on cross-functional projects with both technical and non-technical audiences; Experience with rapport building and ability to work with teammates of all levels and skillsets; Experience with delivering insights clearly and succinctly to executive leadership; and Experience working with ambiguous problems, deconstructing it into tangible steps, and working towards an impactful solution. Requires Bachelors degree or foreign equivalent in Business, Finance, or related field and at least five years of experience as a Credit / Product Analysts or related occupation. Option to work from home may be available (hybrid). Salary range: $185,702 - $225,000. Please send c.v. to Brody Hickey brody.hickey@fundbox.com#LI-DNI

Why we think this is a PERM ad (99% confidence): Rules: PERM-form signals: foreign_equivalent, related_occupation, degree_field, exact_experience, li_dni