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Per Diem Fintech Risk Management Jobs in California

Full Stack Engineer

San Francisco, CA · On-site

$100 - $130/hr

Experience in FinTech, Risk Management, or Compliance is beneficial but not mandatory * Experience with LLM/AI‑powered products, event‑driven systems, or data pipelines * Security, privacy, and ...

Full Stack Engineer

San Francisco, CA · On-site

$150K - $250K/yr

Experience in FinTech, Risk Management, or Compliance is beneficial but not mandatory * Experience with LLM/AI-powered products, event-driven systems, or data pipelines * Security, privacy, and ...

Per Diem Shift: Days (8 hr shifts) Pay Rate*: $85.00/hr MemorialCare is a nonprofit integrated ... Pharmacist maintains competency in drug therapy and disease-state management in order to provide ...

Per Diem Shift: Days (8 hr shifts) Pay Rate*: $85.00/hr MemorialCare is a nonprofit integrated ... Pharmacist maintains competency in drug therapy and disease-state management in order to provide ...

Per Diem Shift: Days (8 hr shifts) Pay Rate*: $85.00/hr MemorialCare is a nonprofit integrated ... Pharmacist maintains competency in drug therapy and disease-state management in order to provide ...

Showing results 21-40

Per Diem Fintech Risk Management information

What is the difference between Per Diem Fintech Risk Management vs Per Diem Compliance Analyst?

AspectPer Diem Fintech Risk ManagementPer Diem Compliance Analyst
CredentialsRisk management certifications, fintech knowledgeCompliance certifications, regulatory knowledge
Work EnvironmentFintech companies, risk departmentsFinancial institutions, compliance teams
Industry UsageRisk assessment, fraud preventionRegulatory adherence, audit support

Per Diem Fintech Risk Management focuses on identifying and mitigating risks within fintech platforms, while Per Diem Compliance Analysts ensure adherence to financial regulations. Both roles require industry-specific certifications and often work in similar environments, but their core responsibilities differ—risk management centers on risk mitigation, whereas compliance emphasizes regulatory adherence.

What are the most commonly searched types of Fintech Risk Management jobs in California?

The most popular types of Fintech Risk Management jobs in California are:

What cities in California are hiring for Per Diem Fintech Risk Management jobs?

Cities in California with the most Per Diem Fintech Risk Management job openings:

Member of Technical Staff (AI Engineering)

Krew

San Francisco, CA • On-site

$150K - $250K/yr

Full-time

Re-posted 4 days ago


Job description

Krew is on a mission to transform credit-servicing with the industry’s most advanced AI credit-servicing agents.
We are backed by Long Journey Ventures (Arielle Zuckerberg, Pascal Levy-Garboua), and strategic angels including Ryan Hoover (Founder, Product Hunt), Charlie Songhurst (Board Member, Meta), and Michael Jones (Former Chair, Huntington Bank Ventures).
We are a talent dense team comprising of ex-Figure Robotics, Optiver, Artificial Analysis, Bain, the United Nations, UChicago, and Oxford engineers and researchers.
Our omnichannel agents are supporting >100,000 consumers on their pathways to financial wellness. And we're just getting started - our goal is to resolve more than $1 trillion in outstanding consumer delinquencies worldwide with an empathetic, human-centric approach to financial wellness.

Job Responsibilities:
  1. Engineer text and email agents using our proprietary email agent framework

  2. Maintain and develop our email agent framework

  3. Develop custom performance and quality evaluations for our agents

Minimum Qualifications:
  1. At least 2 years of full time professional, non-internship experience in fullstack, backend, or AI engineering

  2. Experience with backend development (Python)

  3. Experience integrating language models into AI applications

Preferred Qualifications:
  1. Experience in FinTech, Risk Management, or Compliance is beneficial but not mandatory

  2. Bonus points if you are experienced with agentic frameworks (e.g. LangGraph) and are able to clearly articulate the differences between model quality

  3. Bonus points if you have experience fine-tuning models

  4. Bonus points if you have experience building, using, or refining benchmarks

  5. Bonus points if you were an ex-founder

Compensation Range: $150K - $250K