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Remote Credit Risk Review Jobs in Tavares, FL (NOW HIRING)

Senior Agentic (AI) Engineer

Orlando, FL ยท On-site +1

$97K - $134K/yr

... and risk decisions on regulated financial data. You'll own agents end-to-end architecture ... case review, and continuous monitoring. * Architect agent graphs in LangGraph (or comparable ...

Senior Agentic (AI) Engineer

Orlando, FL ยท On-site +1

$97K - $134K/yr

... and risk decisions on regulated financial data. You'll own agents end-to-end architecture ... case review, and continuous monitoring. * Architect agent graphs in LangGraph (or comparable ...

Senior Agentic (AI) Engineer

Orlando, FL ยท Remote

$107K - $146K/yr

... and risk decisions on regulated financial data. You'll own agents end-to-end architecture ... case review, and continuous monitoring. * Architect agent graphs in LangGraph (or comparable ...

... formally reviewed and approved by legal/risk management. * Establish work priorities, assign ... Location: Remote -Atlanta, GA, Charlotte, NC, Chicago, IL, Dallas, TX, Orlando, FL If this ...

... credit unions, fintechs, lenders, payment processors, and ISVs. We are hiring a Director of Sales ... Run weekly 1:1s, pipeline reviews, deal reviews, and call coaching. Listen to recorded calls, ride ...

... credit unions, fintechs, lenders, payment processors, and ISVs. We are hiring a Director of Sales ... Run weekly 1:1s, pipeline reviews, deal reviews, and call coaching. Listen to recorded calls, ride ...

Conduct performance reviews, career development planning, and growth conversations. * Hire ... Experience managing distributed or remote-first teams. * Strong background in distributed systems ...

Showing results 41-60

Remote Credit Risk Review information

See Tavares, FL salary details

$36.5K

$107.9K

$165.7K

How much do remote credit risk review jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote credit risk review in Tavares, FL is $107,889.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,600.00 and $119,600.00 per year, depending on experience, location, and employer.

What is a remote credit risk review?

A Remote Credit Risk Review is an evaluation process conducted by financial professionals to assess the creditworthiness of borrowers or the effectiveness of a company's credit risk management practices, all done remotely rather than in person. These reviews typically analyze loan portfolios, credit policies, and risk controls to ensure compliance with regulations and to identify potential areas of risk. By leveraging technology, remote reviews allow for efficient, flexible, and thorough assessments without the need for on-site visits, making them ideal for organizations with geographically dispersed operations.

How does a remote credit risk review professional typically collaborate with other departments to ensure comprehensive risk assessments?

Remote Credit Risk Review professionals frequently work closely with teams such as lending, compliance, and internal audit to gather the necessary data and insights for thorough risk evaluations. While much of the analysis is conducted independently, regular virtual meetings and shared documentation platforms are used to discuss findings, clarify data discrepancies, and recommend improvements. This collaborative process ensures that the risk review is well-rounded and aligns with organizational policies and regulatory requirements. Building strong remote communication skills and a proactive approach to cross-functional teamwork are essential for success in this role.

What are the key skills and qualifications needed to thrive as a remote credit risk review analyst, and why are they important?

To thrive as a Remote Credit Risk Review Analyst, you need a solid understanding of credit risk assessment, financial analysis, and regulatory compliance, typically supported by a degree in finance, accounting, or a related field. Familiarity with risk management software, credit scoring tools, and data analytics platforms is essential, and certifications like FRM or CFA can be advantageous. Strong attention to detail, analytical thinking, and effective communication skills help you interpret data and present findings clearly to stakeholders. These skills and qualities are crucial for identifying potential risks, ensuring sound lending decisions, and maintaining the financial health of the organization.

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

AspectRemote Credit Risk ReviewRemote Credit Analyst
Primary FocusAssessing credit risk and reviewing existing credit portfoliosAnalyzing credit data to evaluate loan applications
CertificationsTypically requires risk management or financial certificationsOften requires finance or banking certifications
Work EnvironmentMostly independent review, often in risk management teamsCollaborative analysis within lending or banking teams
Industry UsageCommon in banking, finance, and lending institutionsWidely used in banking, credit unions, and financial services

While both roles involve financial analysis, Remote Credit Risk Review focuses on evaluating existing credit portfolios and managing risk, whereas Remote Credit Analyst primarily assesses new loan applications. Understanding these differences helps job seekers target the right position based on their skills and career goals.

What cities near Tavares, FL are hiring for Remote Credit Risk Review jobs?

Cities near Tavares, FL with the most Remote Credit Risk Review job openings:

Infographic showing various Remote Credit Risk Review job openings in Tavares, FL as of June 2026, with employment types broken down into 82% Full Time, 16% Part Time, 1% Temporary, and 1% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $107,889 per year, or $51.9 per hour.

Senior Agentic (AI) Engineer

Worth AI

Orlando, FL โ€ข On-site, Remote

$97K - $134K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago


Job description

Worth AI is hiring a Senior Agentic AI Engineer to design and ship production agent systems that automate KYB, underwriting, and risk decisions on regulated financial data. You'll own agents end-to-end architecture, retrieval, tools, evals, and production deployment and partner closely with our Chief AI Officer, applied scientists, and platform teams.
Responsibilities
  • Design and ship multi-step agentic systems (planner/executor, tool-using, multi-agent, human-in-the-loop) for onboarding, underwriting, case review, and continuous monitoring.
  • Architect agent graphs in LangGraph (or comparable - CrewAI, AutoGen, Claude Agent SDK) with explicit state, durable execution, retries, and safe fallbacks.
  • Build the retrieval layer powering our agents - chunking, hybrid search, reranking, and grounded citation.
  • Own the eval stack: golden sets, offline regression suites, LLM-as-judge, online A/B and shadow evals, and red-teaming for jailbreaks, prompt injection, and PII leakage.
  • Expose agents to production systems via well-typed tools and MCP servers. Treat tool surface area as a product.
  • Drive production MLOps: deployment, versioning, traffic shaping, cost/latency budgets, tracing, and on-call playbooks for agent incidents.
  • Partner with security and compliance to keep agents inside SOC 2, GDPR, CCPA, and fair-lending posture - auditability and explainability built in, not bolted on.
  • Mentor engineers on agent patterns, prompt hygiene, eval discipline, and LLM failure modes.
  • Technology Stack
    • Languages: Python, Node.js, TypeScript
    • Agent / LLM frameworks: LangGraph, LangChain, Claude Agent SDK, MCP, OpenAI SDK
    • Models: Anthropic Claude, OpenAI, open-weight where appropriate
    • Retrieval & Data: PostgreSQL, pgvector, OpenSearch, Kafka, Redshift, Redis
    • Infra: AWS, Kubernetes (EKS), ArgoCD, Terraform
    • Evals & Observability: LangSmith / Langfuse / Braintrust-style tooling, DataDog

Requirements
  • 5+ years of software engineering experience, with 2+ years building production LLM or agentic systems (not just notebooks or demos).
  • Hands-on experience with a modern agent framework (LangGraph strongly preferred) and a track record of shipping agents that run, fail gracefully, and recover.
  • Strong RAG fundamentals chunking, embeddings, hybrid retrieval, reranking, grounding - and judgment about when RAG isn't the right answer.
  • Real eval experience golden sets, offline and online evaluations, used to make ship/no-ship calls.
  • Production MLOps fluency: deployed LLM workloads under real latency, cost, and reliability constraints.
  • Strong Python; comfortable in TypeScript / Node.js.
  • Solid systems engineering instincts APIs, async patterns, queues, databases, distributed system failure modes.
  • Calibrated communicator; thrives in ambiguous, fast-moving environments.
  • Prior experience in fintech, lending, payments, KYB/KYC, fraud, or AML.
  • Experience building MCP servers or other structured tool interfaces for LLMs.
  • Background in classical ML (ranking, scoring, calibration).
  • Experience designing explainable / auditable AI workflows for regulated environments.
  • Open-source contributions to agent frameworks, eval tooling, or retrieval libraries.
  • AWS depth (EKS, MSK, RDS, S3, Lambda) and IaC with Terraform.
Success Metrics
  • Agent Quality: Measurable improvements in task success rate, grounding accuracy, and hallucination rate on our eval suites.
  • Production Reliability: Agents you own meet defined SLOs for latency (P90/P99), tool-call success, and cost per task.
  • Velocity: New agent capabilities go from prototype to production in weeks, without skipping evals or guardrails.
  • Risk Posture: Zero material incidents tied to prompt injection, PII leakage, or unsafe tool use on agents you own.
  • Force Multiplier: Patterns, tools, and eval scaffolding you build get adopted across engineering.

All Remote Hires will be required to travel to Orlando, Florida at least twice per year for Town Halls and team collaboration, in addition to orientation in Orlando.
Benefits
  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance
  • Flexible Paid Time Off
  • 9 paid Holidays
  • Family Leave
  • Remote
  • Hybrid work (for Orlando Associates)
  • Free Food & Snacks (Orlando)
  • Wellness Resources