Home › Companies › Contfinco › Credit Risk Analyst
Credit Risk Analyst
Contfinco · Wilmington, Delaware, 19808, United States · Remote · Active · BambooHR
Job facts
| Field | Value |
|---|---|
| Company | Contfinco |
| Title | Credit Risk Analyst |
| Normalized title | - |
| Department / team | Credit Risk |
| Location | Wilmington, United States |
| Work model | Remote / Remote |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | BambooHR |
| Posted / first seen | 2026-04-02 / 2026-05-30 |
| Changed / last seen | 2026-05-30 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Contfinco. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through BambooHR. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Wilmington. | Open |
| Department jobs | Active postings in Credit Risk. | Open |
| Work model jobs | Active Remote postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Contfinco |
| Source | 599bf461-3eee-418c-8579-3cdbcab5eecc |
| ATS provider | BambooHR |
Description
Come join a growing financial technology company that’s leading the marketplace in both the marketing and servicing of credit cards! Continental Finance Company specializes in credit card options for those consumers with less than perfect credit. We are seeking a Data Analyst to support our Credit Risk team.
Seeking a Data Analyst to support direct mail and Invitation-To-Apply (ITA) acquisition campaigns through targeting, list processing and execution, and credit risk performance analysis, helping drive efficient growth while maintaining strong portfolio performance.
Essential Functions:
Execute end-to-end direct mail and ITA campaigns, including selection of prospective customers, list processing, and file delivery.
Perform credit risk analysis to support targeting, offer strategy, and campaign decisioning.
Monitor campaign performance, including response, approval, and early credit indicators.
Identify, analyze, and report production trends to management.
Partner with Marketing, Operations, IT to ensure accurate and timely campaign execution.
Leverage credit bureau data, models, and new data sources to enhance targeting and credit risk strategies.
Support test-and-learn initiatives and deliver actionable insights to optimize campaign performance.
Maintain documentation and ensure data accuracy, controls, and compliance with internal policies.
The ideal candidate will have the following:
Bachelor’s degree in quantitative fields such as Mathematics, Finance, Economics, or related discipline required.
1-3 years of analytical and/or data programming experience; consumer lending or credit card industry experience preferred.
Proficiency in SQL and at least one programming language (Python or SAS).
Strong quantitative and problem-solving skills
Strong work ethic with the ability to learn quickly and communicate effectively
Why Continental Finance?
Continental Finance Company (the “CFC”) is one of America’s leading marketers and servicers of credit cards for consumers with less-than-perfect credit. Since our founding in 2005, we have prided ourselves on corporate responsibility to customers in terms of a strong customer support program and fair treatment. With our success, we have also grown into an innovative financial tech company! With a state-of-the-art consumer marketing and servicing platform, we provide a variety of services to consumers when other financial institutions will not accommodate them. With more than 2.6 million credit cards managed and serviced since our founding, we pride ourselves on putting the customer first. We are not a chartered banking financial institution, nor are we a debt originator or a credit card issuer.
CFC is an equal opportunity employer that is committed to inclusion and diversity. Our company provides equal employment opportunity (EEO) regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or veteran status.
CFC is seeking bright, energetic individuals that will help us grow and develop together! We uphold a promise to treat our employees with the same care and concern as we do our customers. We offer all employees competitive compensation and benefits in an exciting, fast-paced business casual environment. Join our growing team and apply online today!
CFC offers a hybrid work schedule which includes three (3) core days in the office (Tuesday, Wednesday, and Thursday) and two (2) remote workdays (Monday and Friday)
#LI-HYBRID
Full job record
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| Org ID | 5c0c67cf-476d-4d9b-8562-87ea60b417c5 |
| Source ID | 599bf461-3eee-418c-8579-3cdbcab5eecc |
| Board ID | 599bf461-3eee-418c-8579-3cdbcab5eecc |
| Provider | bamboohr |
| Provider Job Key | 314 |
| Title | Credit Risk Analyst |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Wilmington, Delaware, 19808, United States |
| Department | Credit Risk |
| Team | — |
| Employment Type | full_time |
| Workplace Type | remote |
| Remote Policy | remote |
| Country | United States |
| Region | — |
| City | Wilmington |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://contfinco.bamboohr.com/careers/314 |
| Apply URL | https://contfinco.bamboohr.com/careers/314 |
| First Seen At | 2026-05-30 05:49:49Z |
| Last Seen At | 2026-06-06 10:27:29Z |
| Last Checked At | 2026-06-06 10:27:29Z |
| Last Changed At | 2026-05-30 05:49:49Z |
| Inactive At | — |
| Source Posted At | 2026-04-02 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=contfinco/date=2026-06-06/2026-06-06T10-27-28-223Z-3504a1fd078bd9ecc0155f2f429d053e783bb3628995a724a7d9be4b34df63f4.json |
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"description": "<p><span style=\"font-weight: bold\">Come join a growing financial technology company that’s leading the marketplace in both the marketing and servicing of credit cards!</span> Continental Finance Company specializes in credit card options for those consumers with less than perfect credit. We are seeking a Data Analyst to support our Credit Risk team.</p>\n<p> </p>\n<p>Seeking a Data Analyst to support direct mail and Invitation-To-Apply (ITA) acquisition campaigns through targeting, list processing and execution, and credit risk performance analysis, helping drive efficient growth while maintaining strong portfolio performance.</p>\n<p> </p>\n<p><span style=\"font-weight: bold\">Essential Functions:</span></p>\n<ul>\n<li>Execute end-to-end direct mail and ITA campaigns, including selection of prospective customers, list processing, and file delivery.</li>\n<li>Perform credit risk analysis to support targeting, offer strategy, and campaign decisioning.</li>\n<li>Monitor campaign performance, including response, approval, and early credit indicators.</li>\n<li>Identify, analyze, and report production trends to management.</li>\n<li>Partner with Marketing, Operations, IT to ensure accurate and timely campaign execution.</li>\n<li>Leverage credit bureau data, models, and new data sources to enhance targeting and credit risk strategies.</li>\n<li>Support test-and-learn initiatives and deliver actionable insights to optimize campaign performance.</li>\n<li>Maintain documentation and ensure data accuracy, controls, and compliance with internal policies.</li>\n</ul>\n<p> </p>\n<p><span style=\"font-weight: bold\">The ideal candidate will have the following:</span><br></p>\n<ul>\n<li>Bachelor’s degree in quantitative fields such as Mathematics, Finance, Economics, or related discipline required.</li>\n<li>1-3 years of analytical and/or data programming experience; consumer lending or credit card industry experience preferred.</li>\n<li>Proficiency in SQL and at least one programming language (Python or SAS).</li>\n<li>Strong quantitative and problem-solving skills</li>\n<li>Strong work ethic with the ability to learn quickly and communicate effectively</li>\n</ul>\n<p> </p>\n<p><span style=\"font-weight: bold\">Why Continental Finance?</span></p>\n<p>Continental Finance Company (the “CFC”) is one of America’s leading marketers and servicers of credit cards for consumers with less-than-perfect credit. Since our founding in 2005, we have prided ourselves on corporate responsibility to customers in terms of a strong customer support program and fair treatment. With our success, we have also grown into an innovative financial tech company! With a state-of-the-art consumer marketing and servicing platform, we provide a variety of services to consumers when other financial institutions will not accommodate them. With more than 2.6 million credit cards managed and serviced since our founding, we pride ourselves on putting the customer first. We are not a chartered banking financial institution, nor are we a debt originator or a credit card issuer.</p>\n<p><br></p>\n<p>CFC is an equal opportunity employer that is committed to inclusion and diversity. Our company provides equal employment opportunity (EEO) regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or veteran status.</p>\n<p><br></p>\n<p>CFC is seeking bright, energetic individuals that will help us grow and develop together! We uphold a promise to treat our employees with the same care and concern as we do our customers. We offer all employees competitive compensation and benefits in an exciting, fast-paced business casual environment. Join our growing team and apply online today!</p>\n<p> </p>\n<p> <em><span style=\"font-weight: bold\">CFC offers a hybrid work schedule which includes three (3) core days in the office (Tuesday, Wednesday, and Thursday) and two (2) remote workdays (Monday and Friday)</span></em></p>\n<p><br></p>\n<p>#LI-HYBRID</p>",
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