Fraud Risk AI Scientist Job at Robert Half (Charlotte)

Lead Data Scientist

Prism is seeking a Lead Data Scientist who will make high-impact, hands-on contr...

Location

United States , NYC or San Diego (La Jolla/UTC)

Salary:

140000.00 - 160000.00 USD / Year

Prism Data

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Statistics, Data Science, Math, Industrial Engineering, or similar quantitative discipline required
4+ years of experience as a Data Scientist or Statistician, preferably in credit risk or financial services
Research & development of new attributes, models, decision strategies, and/or analytic capabilities
Customer-facing testing of data or analytic solutions (e.g., credit risk scores, alternative data, fraud prevention, etc.)
Collaboration with business teams to understand and address business problems
Modeling experience in the latest AI and machine learning approaches
Mastery of rudimentary modeling approaches (e.g., regression, decision trees)
Knowledge of data labeling/categorization, feature development and selection, model design and training, testing, coding, implementation, monitoring, and governance
Financial services industry data expertise, including types of data sources applicable to different types of business decisions based on regulatory factors
Experience evaluating alternative statistical approaches, including review of academic papers on new techniques and ideas, and justifying which approach is best suited for which problems and why

Job Responsibility

Maintain and advance existing analytical product suite
Enhance core cash flow underwriting offerings as new data elements become available
Develop next-generation versions of products to boost stability, predictive accuracy, and relevancy to emerging use cases
Develop new products for new market opportunities using novel data assets
Demonstrate best practices in transparent modeling approaches to enable easy client adoption
Support sales, revenue attainment, and thought leadership
Conduct proof of concept analyses of the efficacy of Prism products in the context of clients’ business problems, and present results and insights
Support new and existing clients by guiding them on score cutoffs and the use of powerful custom attribute sets for their business
Educate clients on technical product knowledge
Contribute analysis to thought leadership content delivered by Prism executives in white papers and industry conferences

What we offer

medical
dental
vision
401(k)
equity-based compensation

Fulltime

Data Scientist

The Specialized Analytics Sr Anlst role applies in-depth disciplinary knowledge,...

Location

India , Bengaluru; Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

8+ years of experience in machine learning and deep learning, with a focus on generative models
Strong proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras
Experience working with Model Risk Management team for model approval and governance related work
Experience with natural language processing (NLP) and natural language generation (NLG)
Proven track record of building and deploying generative models-based solutions in production environments particularly using RAG frameworks, few shot prompts, etc.
Solid understanding of machine learning algorithms, data structures, and software engineering principles
Excellent problem-solving skills and the ability to work independently and as part of a team

Job Responsibility

Design, Develop and deploy generative AI based solutions for various Fraud prevention area
RAG Frameworks – Able to customize and fine-tune existing RAG frameworks or design new RAG to meet project requirements
Collaborate with cross-functional team to understand business requirements and translate them into AI solutions
Conduct research to advance the state-of-the art in generative modeling and stay up to date with latest advancements in the field
Optimize and fine-tune models for performance, scalability, and robustness
Strong experience in prompt engineering
Implement and maintain AI pipelines and infrastructure to support model training and deployment
Perform data analysis and preprocessing to ensure high-quality input for model training
Mentor junior team members and provide technical guidance
Write and maintain comprehensive documentation for models and algorithms

Fulltime

Data Scientist, Machine Learning

We are actively building AI-driven applications that streamline customer workflo...

Location

United States , San Francisco; New York

Salary:

160000.00 - 230000.00 USD / Year

Middesk

Expiration Date

Until further notice

Requirements

7+ years applied ML experience, with direct impact in risk, fraud, trust & safety, compliance, or adjacent high-stakes domains
Proven track record of shipping ML models from research to production in external-facing products
Expertise in classification with real-world challenges, for example: imbalanced labels, sparse signals, cold start, and production version management
Hands-on ML infrastructure experience: feature stores, model management, ML training/serving pipelines
Comfort as a senior IC: setting technical direction, mentoring peers, and establishing best practices

Job Responsibility

Build risk & fraud ML applications: Deliver production ML models in fraud, trust & safety, KYB, and compliance domains, with measurable impact on customer workflows
Tackle hard data problems: Work on classification problems with extreme class imbalance, sparse signals, and “cold start” label challenges
Innovate in feature engineering & labeling: Use graph-based techniques, weak supervision, LLMs, and AI agents to improve signal extraction and automate labeling process
Establish ML infrastructure foundations: Partner with platform engineering team to design feature services, model training pipeline, model serving standards, and orchestration to scale multiple ML use cases

What we offer

Offers Equity

Fulltime

Staff Data Scientist - Fraud & Risk

We are seeking a skilled and motivated Staff Data Scientist to join our Fraud & ...

Location

United States

Salary:

140000.00 - 210000.00 USD / Year

Socure

Expiration Date

Until further notice

Requirements

Master’s or PhD in Computer Science, Statistics, Applied Mathematics, Data Science, or a related field
or equivalent professional experience
8+ years of experience in data science, machine learning, or related fields, ideally in a high-growth tech or fintech environment
Experience in fraud prevention, risk modeling, or identity verification
Years of hands-on experience developing and deploying deep learning models (such as transformers, CNNs/RNNs, and graph learning)
Experience working with diverse data modalities, such as tabular data, text/language, point clouds, and images
Strong proficiency in Python, SQL, and major ML libraries/frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
Deep understanding of machine learning algorithms, model evaluation techniques, and data pipeline development
Experience with model deployment and monitoring in production environments (specific experience with real-time model inferencing is a plus)
Demonstrated ability to proactively deliver complex outcomes, mentor others, and influence cross-functional decisions

Job Responsibility

Design, develop, and implement advanced deep learning models, including transformers, CNNs/RNNs, and graph learning algorithms, to address complex fraud and risk challenges
Build and optimize models using a variety of input data types, including tabular data, natural language, point clouds, and images
Lead the end-to-end machine learning lifecycle: data exploration, feature engineering, model training, evaluation, deployment, and monitoring in production environments
Take ownership of project outcomes, data quality, and delivery timelines
proactively escalate issues and work collaboratively to resolve challenges
Mentor and share knowledge with peers and junior data scientists, fostering a culture of experimentation, rapid iteration, and continuous learning
Collaborate cross-functionally with Product, Engineering, and Risk teams to define data requirements and drive insights that guide strategic decisions
Conduct in-depth research to explore new data sources and develop novel algorithms that advance the state of the art in fraud detection
Present findings and recommendations to technical and executive stakeholders with clarity and influence
Stay current with advancements in AI and machine learning, applying innovative approaches to real-world problems

What we offer

Offers Equity
Offers Bonus

Fulltime

Data Scientist II - Fraud & Risk

We are seeking a skilled and motivated Data Scientist II to join our Fraud & Ris...

Location

United States

Salary:

140000.00 - 170000.00 USD / Year

Socure

Expiration Date

Until further notice

Requirements

Bachelor’s degree with substantial related experience, Master’s degree with relevant experience, or equivalent work background in Computer Science, Statistics, Mathematics, Engineering, or a related field
2-4 years of hands-on experience developing and deploying deep learning models (such as transformers, CNNs, and LSTMs)
Experience working with diverse data modalities, such as tabular data, text/language, point clouds, and images
Proficiency in Python and major ML libraries/frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
Foundational understanding of machine learning algorithms, model evaluation techniques, and data pipeline development
Experience with model deployment and monitoring in production environments
Strong problem-solving skills, with the ability to work independently on straightforward tasks and contribute effectively to project objectives
Demonstrated ability to collaborate in a diverse, cross-functional team environment
Excellent written and verbal communication skills

Job Responsibility

Design, develop, and implement advanced deep learning models, including transformers, CNNs, and LSTMs, to address complex fraud and risk challenges
Build and optimize models using a variety of input data types, including tabular data, natural language, point clouds, and images
Take ownership of assigned tasks, executing technical and functional activities to support project goals with minimal supervision
Participate in all stages of the machine learning lifecycle: data exploration, feature engineering, model training, evaluation, and deployment
Collaborate effectively across teams, sharing knowledge and learning from diverse perspectives to drive results
Make routine technical decisions and contribute to functional objectives through productive and proactive engagement
Stay current with advancements in AI and machine learning, applying innovative approaches to real-world problems
Communicate results and insights clearly to both technical and non-technical audiences

What we offer

Offers Equity
Offers Bonus

Fulltime

Data Scientist - Risk Analytics

We're looking for a Risk Analyst to join our Fraud & Financial Crime Team. You w...

Location

United Kingdom , London

Salary:

Not provided

Capital on Tap

Expiration Date

Until further notice

Requirements

At least three years of risk analysis experience ideally including credit cards, fraud or fincrime
Highly analytical and comfortable conducting complex analysis using SQL and Python
Exceptional detail orientated, problem solving skills and the ‘can do’ attitude to thrive in a fast paced, high growth environment
Excellent collaboration skills and a natural team player
Strong verbal communication skills including the ability to clearly explain complex concepts to other analysts, business stakeholders and senior leadership
2.1 or above at degree level, preferably in Economics or STEM subject

Job Responsibility

Owning, monitoring and continually optimising our fraud detection rules
Applying advanced analytics to maximise the efficiency and effectiveness of our Financial Crime detection processes
Supporting the launch of new products and balancing the need for robust fraud and financial crime controls whilst maintaining a positive customer experience
Working with external vendors to continually evaluate innovative or alternative products and tools
Proactively championing best use of AI to accelerate delivery of analytical output and as an integral part of our business solutions
Present and actively collaborate with a wide group of business stakeholders including Operations, Credit, Senior Management, and external business partners

What we offer

Private Healthcare including dental and opticians services through Vitality
Worldwide travel insurance through Vitality
Anniversary Rewards (£250, £500, £750, 4-week fully paid sabbatical)
Salary Sacrifice Pension Scheme up to 7% match
28 days holiday (plus bank holidays)
Annual Learning and Wellbeing Budget
Enhanced Parental Leave
Cycle to Work Scheme
Season Ticket Loan
6 free therapy sessions per year

Fulltime

Data Scientist & Gen AI Vice President

This role is a senior position where we are seeking a highly experienced and str...

Location

India , Haryana

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10+ years of hands-on experience in data science, or AI/ML roles
7+ years’ experience in statistical analysis with working knowledge of at least one of the following statistical software packages: Python (Must), Hive, Spark, SAS
Strong quantitative, analytical, and problem-solving skills
knowledge of probability theory, statistics, mathematical finance, econometrics, numerical methods
2+ years of hands-on experience specifically with generative AI or LLMs
Strong understanding of statistical concepts and modelling techniques including traditional and advanced ML algorithms
Strong programming skills in Python, and familiarity with libraries like Transformers, LangChain, LlamaIndex, PyTorch, or TensorFlow
Working knowledge of retrieval-augmented generation (RAG) pipelines and vector databases
Understanding of MLOps / LLM Ops, model evaluation, prompt tuning, and deployment pipelines
Experience building applications with OpenAI, Anthropic Claude, Google Gemini, or open-source LLMs

Job Responsibility

Lead the design and implementation of generative AI use cases, from ideation to production
Build and tune LLM-based applications using platforms like Vertex, GPT, Hugging Face, etc
Create robust prompt engineering strategies and reusable prompt templates
Integrate generative AI with enterprise applications using APIs, knowledge graphs, vector databases (e.g., PG Vector, Pinecone, FAISS, Chroma), and orchestration tools
Collaborate with Tech and business teams to identify opportunities and build solutions
Responsible for model development, validation and testing of fraud detection models, including statistical analysis, data validation and model performance evaluation
Ensure compliance with regulatory requirements and industry best practices in fraud detection and model validation
Responsible for documenting the model development documents for MRM approvals and governance purposes
Stay current on GenAI trends, frameworks (LangChain, LlamaIndex), and research
Mentor junior team members and promote a culture of experimentation and learning

Fulltime

Senior VP - Data Science & Modelling

Citi Analytics & Information Management (AIM) team is a global community that ob...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Minimum 15+ years of analytics experience in core model development using ML/AI/Gen AI techniques
Sound knowledge of model development stages and industry best practices in real time deployment with good understanding of pros and cons of different modelling techniques
Strong understanding of current state of the art ML/AI/Gen AI algorithms and Generative AI
Strong coding skill with experience in Bigdata environments
Strong knowledge of the pros, cons, and usage of various ML / DL applications (such as Keras, TensorFlow, Python Scikit, etc.)
Strong knowledge of Python, SQL, and Big Data
Bachelor’s degree in finance/engineering/quantitative Fields (Statistics, Mathematics)/MBA. Master’s degree preferred
Model execution and governance experience in any domain will be preferable
Proficient in proactive risk mitigation, manage project pipeline to ensure prioritization and required resourcing mix
At least 8 years of people management experience

Job Responsibility

Lead a team of data scientists responsible for working on various tools and technologies for successful development and implementation of Machine learning (ML) /AI/Gen AI models on different platforms
Mitigate fraud losses by designing and developing NextGen advanced intelligent AI or ML based platform
Analyze transaction data, understand fraud pattern, develop models with the objective of overall business goal of minimizing fraud losses as well as minimizing customer impact
Collaborate with model implementation team, responsible for model documentation, justifying questions from model risk management (MRM)
Lead and manage the entire modelling function within AIM Financial Crimes and Fraud Prevention Analytics, recruit staff, lead professional development and build an effective high performing team
Work as SME in the area of ML/Generative AI
Articulate complex AI and ML concepts in a clear manner to diverse audiences including business partners and peers
Stay abreast of the latest advancements, trends and research in AI and ML space
Provide technical leadership, mentorship, and guidance to a team of model developers
Ensuring 100% execution accuracy

Fulltime

Fraud Risk AI Scientist

Robert Half

Location:
United States , Charlotte

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 12, 2026

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