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Remote Credit Risk Jobs in Long Branch, NJ (NOW HIRING)

Fin

Risk Analyst

New York, NY · Remote

$100K - $175K/yr

Role Overview We are hiring our first Fraud/Risk Analyst to join our Risk & Compliance team . This role will focus on identifying, analyzing, and mitigating risks associated with digital asset ...

TKO Group Holdings, Inc.

Risk Analyst

New York, NY · On-site +1

The Risk Analyst role is also responsible for providing administrative support and assisting with department projects. Primary Responsibilities: * Drive all activity for renewal of certain insurance ...

Grasshopper Bank

Fintech Risk Analyst

New York, NY · On-site +1

Reporting into the Director of Fintech Risk, we are seeking a motivated Fintech Risk Analyst who will contribute to and support a strong risk management culture in working with existing and ...

Kalshi

Operations Risk Analyst

New York, NY · On-site +1

$100K - $140K/yr

Role Roadmap As an Operations Risk Analyst, you'll help ensure the stability and integrity of Kalshi's markets by contributing to post-trade processing and managing operational risk across our ...

micro1 AI

Revenue Operations Manager - Remote

New York, NY · Remote

$130K - $180K/yr

... credit holds, and contract discrepancies in a timely manner * Prepare and deliver weekly and ... Develop, document, and enforce internal controls and A/R policies to mitigate risk and ensure ...

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All JobsCredit Risk JobsRemote Credit Risk JobsRemote Credit Risk Jobs in Long Branch, NJ

Remote Credit Risk information

See Long Branch, NJ salary details

$49.4K

$108K

$180.8K

How much do remote credit risk jobs pay per year?

As of Jul 17, 2026, the average yearly pay for remote credit risk in Long Branch, NJ is $108,027.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,100.00 and $140,300.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals in remote credit risk roles, and how can they be addressed?

Remote credit risk professionals often face challenges such as limited direct access to clients and colleagues, which can make it harder to gather nuanced information and collaborate efficiently. To address these, it's important to leverage digital communication tools and maintain proactive communication with both internal teams and external stakeholders. Building strong documentation and adopting clear workflows also help ensure consistency in risk evaluation while working remotely. Regular virtual meetings and continuous professional development can further support success and connection in a remote setting.

What is a Remote Credit Risk job?

A Remote Credit Risk job involves analyzing and assessing the financial risk associated with lending or extending credit to individuals or businesses, all while working from a remote location. Professionals in this field evaluate credit applications, monitor existing accounts, and help develop policies to minimize financial losses for their employer. They typically use data analysis, financial modeling, and risk assessment tools to make informed decisions. Remote roles in credit risk allow for flexible work arrangements, but still require strong analytical skills and attention to detail.

What is the difference between Remote Credit Risk vs Remote Credit Analyst?

AspectRemote Credit RiskRemote Credit Analyst
Primary FocusAssessing overall credit risk for portfolios and lending strategiesAnalyzing individual credit applications and financial data
Required CredentialsOften requires risk management certifications, finance degreesTypically requires finance or accounting degrees, certifications like CFA or CPA
Work EnvironmentCollaborates with risk management teams, uses risk modeling toolsWorks with loan officers, reviews financial statements, uses credit scoring software
Industry UsageCommon in banking, financial services, lending institutionsUsed in banks, credit unions, lending agencies

Remote Credit Risk professionals focus on evaluating overall credit portfolios and developing risk mitigation strategies, while Remote Credit Analysts analyze individual credit applications to determine creditworthiness. Both roles require financial expertise and often similar certifications, but their scope and daily tasks differ significantly.

What are the key skills and qualifications needed to thrive as a Remote Credit Risk Analyst, and why are they important?

To thrive as a Remote Credit Risk Analyst, you need strong analytical abilities, knowledge of financial principles, and typically a degree in finance, economics, or a related field. Familiarity with risk assessment software, statistical tools like SAS or R, and credit reporting systems is essential. Excellent communication, attention to detail, and problem-solving skills help you interpret data and collaborate effectively from a distance. These skills and qualifications are crucial to accurately assess creditworthiness, minimize risk, and support sound financial decisions in a remote environment.
What cities near Long Branch, NJ are hiring for Remote Credit Risk jobs? Cities near Long Branch, NJ with the most Remote Credit Risk job openings:
Remote Credit Risk jobs near you
Risk Analyst

Risk Analyst

Fin

New York, NY • Remote

$100K - $175K/yr

Full-time

Re-posted yesterday

Job description

About Fin

Fin is a next-generation payments platform built for high-value, global, and instant transactions. We are a Series A-stage company backed by Sequoia, Circle, and other notable investors. Powered by stablecoins, Fin enables users and businesses to move millions of dollars in seconds - whether to other Fin users, directly into bank accounts, or across crypto rails. By combining the speed of crypto with the reliability and trust of traditional finance, Fin reimagines how money moves worldwide. If banks and payment products were reinvented today, they would look like Fin.

Role Overview

We are hiring our first  Fraud/Risk Analyst to join our Risk & Compliance team . This role will focus on identifying, analyzing, and mitigating risks associated with digital asset transactions – including ACH fraud and compliance with applicable regulations like the Patriot Act and Bank Secrecy Act. This is a critical position, reporting directly to the CEO, and will require a combination of technical, analytical, and regulatory expertise to build a robust fraud detection and risk assessment framework from the ground up.

Key Responsibilities

  • Develop and implement a comprehensive risk management strategy tailored to the evolving digital asset landscape.

  • Take action to resolve automatically flagged transactions and individuals

  • File suspicious activity reports as required 

  • Monitor and analyze transaction data to detect potential fraud, suspicious activities, and emerging risk trends.

  • Utilize advanced data analysis techniques and fraud detection tools to identify anomalies and potential security threats.

  • Create and maintain risk assessment models to evaluate the financial and reputational impact of potential fraud incidents.

  • Partner with the engineering team to design and implement fraud detection systems, leveraging machine learning and predictive analytics.

  • Ensure alignment with regulatory requirements, including AML, KYC, and digital asset regulations.

  • Draft detailed reports and dashboards on risk findings, fraud incidents, and risk mitigation strategies for senior leadership and stakeholders.

  • Lead cross-functional risk assessments for new product launches, ensuring security and fraud prevention measures are integrated into product design.

  • Stay abreast of emerging risks in the digital asset space, including regulatory changes and new fraud tactics.

  • Develop incident response plans for fraud detection and participate in incident response drills to assess and enhance our risk management framework.

Qualifications

  • Bachelor's degree in Finance, Economics, Computer Science, Data Science, or related field.

  • 5+ years of experience in fraud analysis, risk management, or financial crime prevention, ideally within fintech, digital assets, or blockchain environments.

  • Demonstrated experience with fraud detection systems, transaction monitoring tools, and data analysis platforms (SQL, Python, R).

  • Strong knowledge of digital asset platforms, blockchain technology, and stablecoin ecosystems.

  • Experience with regulatory compliance, particularly regarding AML, KYC, and financial crime prevention.

  • Exceptional analytical and problem-solving skills with a data-driven approach to decision-making.

  • Strong written and verbal communication skills, with the ability to clearly articulate complex risk findings to non-technical stakeholders.

Preferred Qualifications

  • Certifications such as Certified Fraud Examiner (CFE), Certified Risk Manager (CRM), or CAMS.

  • Experience with machine learning models for fraud detection and predictive analytics.

  • Familiarity with incident response protocols and risk mitigation frameworks in financial services.

  • Prior experience in a fast-paced startup or scaling fintech environment.

Compensation Range: $100K - $175K