GenAI Model Risk Data Scientist Job at Citi (Jersey City)

Model Risk Data Scientist, Innovation Labs, Vice President

This position is for a professional who would like to make a wide-scale impact a...

Location

United States , Jersey City; New York

Salary:

142320.00 - 213480.00 USD / Year

Citi

Expiration Date

May 17, 2026

Requirements

6-10 years of experience
Master’s or advanced degree in quantitative fields such as Mathematics, Statistics, Financial Engineering, Quantitative Finance, Computer Science, Data Science, etc.
AI/ML development experience in a Data Scientist role or similar – A Must
NLP development experience in a Data Scientist role or similar – Strongly preferred
Knowledge of AI risk, safety, and ethics principals and hands-on experience with model validation in a financial institution – Preferred
Experience in GenAI Model validation or AI/ML Model validation –Preferred
Experience in a quantitative role in the Financial Markets/Banking/Insurance or experience in Risk capacity at a financial services / insurance institution –Preferred
Strong organizational and project management skills
Risk and Controls mindset

Job Responsibility

Assist development teams with implementing new GenAI solutions from identification through validation phases
Collaborate with developers and business stakeholders on streamlining the adoption of GenAI within Citi
Own and maintain GenAI solution book of work for eligible GenAI use-cases
During pre-identification phase of models, assist with preparations for internal discussions and initial submission for model validation
Own relationships with governance-related stakeholders
Monitor and maintain GenAI solution inventory data and lifecycle
Educate development teams on the model validation process
Own tracking and modeling tools

What we offer

medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

Fulltime

Business Analyst

Andersen is hiring a Business Analyst in Germany to support a large AI-driven di...

Location

Germany

Salary:

Not provided

Andersen

Expiration Date

Until further notice

Requirements

Experience working as a Business Analyst in software or data-driven environments for 5+ years
Experience working on AI/ML or GenAI initiatives, including model-driven features, automation, RAG, and LLM-based products
Ability to collect, analyse, and document business requirements for AI systems with unclear or evolving problem spaces
Understanding of AI fundamentals, including data quality, model lifecycle, inference vs. training, evaluation metrics, risks, and limitations
Experience transforming business needs into clear functional and non-functional requirements for AI teams
Strong skills in process analysis, workflow definition, and optimisation for AI-enabled use cases
Ability to analyse data sources, constraints, privacy implications, and readiness for AI use
Experience preparing user stories, acceptance criteria, and success metrics for AI features
Ability to work closely with Data Science, ML Engineering, Product, and Software Engineering teams
Strong stakeholder communication skills, with the ability to explain AI capabilities and limitations in simple terms

Job Responsibility

Gathering and documenting business requirements for AI/ML and GenAI initiatives, ensuring clarity for both technical and non-technical teams
Analyzing business processes and identifying opportunities where AI can improve efficiency, accuracy, or decision-making
Translating requirements into functional specifications, user stories, acceptance criteria, and measurable outcomes
Collaborating with Data Scientists and ML Engineers to align requirements with model capabilities and data constraints
Analyzing available data sources and assessing data readiness for AI use, including quality, structure, gaps, and risks
Facilitating communication between business stakeholders and technical teams to ensure expectations and limitations are well understood
Supporting product discovery and experimentation cycles (PoCs, prototypes, pilots), capturing learnings and shaping next steps
Reviewing and validating AI feature outputs, model behaviour, and user experience against defined acceptance criteria
Preparing process diagrams, workflows, documentation, and decision materials related to AI-enabled solutions
Monitoring the performance of delivered AI features and supporting iterative improvements based on user feedback and insights

What we offer

Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others
The opportunity to change the project and/or develop expertise in an interesting business domain
Job conditions – you can work both fully remotely and from the office or can choose a hybrid variant
Guarantee of professional, financial, and career growth
The company has introduced systems of mentoring and adaptation for each new employee
The opportunity to earn up to an additional 1,000 USD per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities
Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated
Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies)
Certification compensation (AWS, PMP, etc)
Referral program

Data Scientist

The WW DSP Analytics team is a centralized analytics organization within Amazon'...

Location

India , Hyderabad

Salary:

Not provided

Amazon

Expiration Date

Until further notice

Requirements

2+ years of data scientist experience
3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
1+ years of guiding and coaching a group of researchers experience
1+ years of working with or evaluating AI systems experience
1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
Experience applying theoretical models in an applied environment

Job Responsibility

Develop Science Solutions for DSP Performance: Design and implement data science solutions to optimize Delivery Service Partner (DSP) operations, capacity planning, and performance measurement across the global DSP network
Apply Advanced Machine Learning Techniques: Leverage solid research experience in Machine Learning and statistical modeling to identify opportunities for improving DSP analytics, forecasting models, and performance measurement systems
Optimize DSP Program Policies and Sentiment Risks: Analyze sentiment risks and enhance existing algorithms that support DSP program management, including scorecard metrics, capacity reliability models, and performance evaluation frameworks
Analyze Business Requirements with Return on Investment (ROI) calculation: Demonstrate superior logical thinking by quickly approaching large, ambiguous problems, translating high-level DSP program requirements into mathematical models, and applying models to predict the return on investment.
Build Production-Scale Analytics: Contribute to the development and deployment of scalable data models, dashboards, and automated reporting systems that enable self-service analytics for DSP stakeholders
Accelerate GenAI footprint: Partner with Data Engineers to expand our GenAI tools and improve developer productivity along with raising the bar on data quality.
Conduct Independent Data Analysis: Mine and analyze complex datasets across multiple domains (performance metrics, financial data, operational data) using programming and statistical analysis tools to generate actionable insights
Thrive in a Collaborative Environment: Excel in a fast-paced analytics organization that encourages collaborative and creative problem-solving, measure and communicate analytical risks, constructively critique peer work, and align research focuses with DSP program strategic needs
Partner Cross-Functionally: Work closely with Business Intelligence Engineers, program teams, and DSP stakeholders to define KPIs, validate analytical approaches, and ensure insights drive meaningful business outcomes

Big Data Developer

The Big Data Developer is a senior level position responsible for establishing a...

Location

Canada , Mississauga

Salary:

120800.00 - 170800.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

6+ years of relevant experience in Big Data/Application Development or systems analysis roles, including building and operating production-grade data pipelines on Hadoop/Spark
Extensive experience in system analysis and in programming of big data applications and data platforms
Proven experience designing and managing Hadoop-based architectures, including cluster configuration, resource management (YARN), and ecosystem integration
Strong understanding and hands-on expertise with the Hadoop ecosystem: HDFS, YARN, MapReduce, Hive, HBase, and Spark
Strong hands-on and architectural knowledge of Python, PySpark, Unix/Linux, and SQL
Experience with data modeling, ETL processes, and data warehousing concepts and implementation
Experience implementing data security and governance (e.g., RBAC, encryption, data quality, data lineage, catalog)
Exposure to AI/ML lifecycle management, MLOps, and GenAI solution patterns and integration points
Experience with major cloud platforms—AWS, Azure, Google Cloud—and related big data services (e.g., EMR, HDInsight, Dataproc, Databricks)
Subject Matter Expert (SME) in at least one area of Big Data/Application Development (e.g., Spark performance tuning, Hive optimization, HBase administration, data security)

Job Responsibility

Partner with multiple management teams to ensure appropriate integration of functions to meet goals, and to identify and define necessary platform and system enhancements to deploy new data products and process improvements
Design and implement scalable and efficient Hadoop architecture solutions encompassing core ecosystem components, including HDFS, YARN, MapReduce, Hive, HBase, and Spark
Collaborate with data engineers, data scientists, and analytics stakeholders to understand data requirements and deliver robust, reliable pipelines and analytical datasets
Develop Spark/PySpark solutions to support near real-time data ingestion, analytics, and reporting, ensuring high performance and reliability
Optimize Hadoop and Spark clusters for performance and resource utilization, including capacity planning, tuning, and job orchestration best practices
Maintain and monitor Hadoop infrastructure to ensure high availability, reliability, and observability
implement proactive alerting, logging, and issue resolution
Implement and enforce data security and governance policies (e.g., access controls, encryption, data quality, lineage, and cataloging) across big data platforms
Troubleshoot and resolve issues across the Hadoop ecosystem (jobs, services, resource management), driving root-cause analysis and permanent fixes
Provide expertise in the area and advanced knowledge of applications programming, ensuring application and data solution design adheres to the overall architecture blueprint and cloud reference patterns

Fulltime

Senior Data Scientist / AI Consultant – Security & Risk Analytics

Senior Data Scientist / AI Consultant – Security & Risk Analytics. Hybrid – 3 da...

Location

Ireland , Dublin 18

Salary:

100000.00 EUR / Year

Solas IT Recruitment

Expiration Date

Until further notice

Requirements

Proven experience delivering end-to-end ML and DL solutions in production environments
8+ years commercial experience
Strong programming skills in Python and solid SQL expertise
Experience with Generative AI, including LLMs, RAG, vector databases, and agent-based frameworks
Strong analytical thinking with the ability to communicate insights to both technical and non-technical stakeholders
Hands-on experience in data preparation, feature engineering, and model evaluation
A proactive and solution-oriented mindset, comfortable working in fast-paced environments

Job Responsibility

Translate complex business challenges into data-driven solutions using ML, DL, and GenAI techniques
Manage the full model lifecycle including data exploration, feature engineering, modelling, validation, and deployment
Build classification and scoring models, effectively handling incomplete or ambiguous datasets
Develop explainable AI outputs to support business decision-making
Deploy and monitor models to ensure performance, scalability, and reliability
Prototype new concepts and evaluate emerging tools and frameworks
Collaborate with engineering and product teams to deliver scalable, production-ready systems
Support data pipelines, cloud platforms, and CI/CD processes for analytics workloads

What we offer

Excellent salary package
Great benefits
Very good career progression

Fulltime

Senior Data Scientist – GenAI & Traditional AI

We are seeking a Senior Data Scientist with strong hands-on experience across Tr...

Location

India , Hyderabad

Salary:

Not provided

NStarX

Expiration Date

Until further notice

Requirements

5+ years of hands-on experience in data science / machine learning with delivered outcomes
Practical experience in both Traditional ML (supervised/unsupervised methods, NLP, time series, recommendations, etc.) and GenAI (LLM-based features)
Hands-on experience building or contributing to RAG systems
familiarity with agentic frameworks is strongly preferred
Solid understanding of model evaluation, experimentation rigor, and iterative improvement cycles
Ability to independently own tasks within a project and deliver with minimal supervision
Experience mentoring or guiding junior team members through reviews and coaching
Strong communication and documentation skills

Job Responsibility

Execute end-to-end AI/ML experimentation for a single project: problem framing, dataset readiness, feature engineering, model training/tuning, evaluation, and iteration
Build and optimize GenAI pipelines using proprietary and open-source models depending on project needs
Contribute to LLM-driven feature development with working knowledge of model behavior, embeddings, prompting strategies, context management, and evaluation
Implement and improve RAG pipelines (document ingestion, chunking strategies, embeddings, retrieval, reranking, grounding, and evaluation)
Develop agentic workflows using modern agent frameworks and tool integrations (multi-step execution, tool use, safety/guardrails)
Assist in defining evaluation methods for GenAI (faithfulness, relevance, hallucination risk, latency, cost)
Work with engineering and MLOps teams to transition experiments into production-grade pipelines
Contribute to performance tuning, observability, and reliability of AI services (metrics, logging, monitoring, error analysis)
Ensure implementation follows best practices for maintainability, scalability, and cost efficiency
Guide and groom junior data scientists through structured mentorship: task planning, implementation reviews, and feedback

Fulltime

New

Principal, AI Enablement, Tools and Accelerators

Being part of Air Canada is to become part of an iconic Canadian symbol, recentl...

Location

Canada , Toronto

Salary:

Not provided

Air Canada

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
5+ years of experience across data, AI, software engineering, digital platforms, or technology delivery environments
Proven experience defining or leading enablement, platform adoption, or reusable capability strategies at enterprise scale
Strong understanding of modern AI/ML and GenAI concepts, including tooling, lifecycle management, and operationalization
Demonstrated ability to operate across strategy and execution—translating vision into scalable, practical outcomes
Proven ability to influence and align senior technical and business stakeholders
Demonstrate punctuality and dependability to support overall team success in a fast-paced environment
Strong communication skills, with the ability to clearly articulate complex concepts to diverse audiences

Job Responsibility

Shape and guide the enterprise AI enablement strategy, aligned to the broader Data & AI mandate and operating model
Establish a clear roadmap for how AI tools, accelerators, and execution patterns are adopted across the enterprise
Ensure AI enablement balances central consistency with flexibility for business and domain specific needs
Partner with business, digital, and technology leaders to assess AI readiness and support adoption at scale
Define the enterprise strategy for reusable AI accelerators, including identification, prioritization, lifecycle management, and adoption
Establish mechanisms to catalogue, govern, and promote reuse of AI assets across platforms and delivery teams
Partner with platform, engineering, and data science teams to ensure accelerators are production ready, secure, and scalable
Enable a “build once, scale many” approach to AI capabilities across the organization
Own the agentic AI readiness strategy, including enterprise patterns, guardrails, and adoption pathways
Partner with Architecture, Security, Privacy, and Responsible AI teams to ensure agentic approaches align with enterprise standards and risk posture

Fulltime

Data Science and AI Developer Lead

The Data Science and AI Developer Lead serves as the technical and operational f...

Location

India , Bengaluru

Salary:

Not provided

Randstad

Expiration Date

May 06, 2026

Requirements

Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field
5+ years of experience in AI development, with a strong focus on Generative AI (GenAI) technologies and applications
Hands-on expertise in Python and GenAI frameworks (such as OpenAI, or similar)
Hands-on experience with cloud platforms (AWS, Azure) and building scalable solutions within those environments, well-architected framework and CI/CD practices
Demonstrated experience leading or mentoring technical teams, ideally in a distributed or matrixed environment
Strong understanding of prompt engineering, fine-tuning large language models, and deploying GenAI solutions in production
Excellent problem-solving, analytical, and communication skills
Proven ability to foster a collaborative, high-performance culture and drive engineering excellence
Experience working in environments that value iterative delivery, safe experimentation, and rapid learning

Job Responsibility

Technical leadership and day-to-day oversight of Senior AI Developers, AI Tech Leads and Data Scientists based in India
Acting as the primary point of contact for Senior AI Developers, AI Tech Leads and Data Scientists ensuring alignment with AI Platform standards and practices
Facilitating the flexible deployment of Senior AI Developers, AI Tech Leads and Data Scientists to support delivery and execution across existing Pods
Coach, mentor, and support Senior AI Developers, AI Tech Leads and Data Scientists fostering a culture of engineering excellence, safe experimentation, and continuous improvement
Ensure consistently apply shared ways of working, standards, and best practices as set by the AI Tech Chapter Lead
Coordinate with Pod Leads and the AI Tech Chapter Lead to allocate Senior AI Developers, AI Tech Leads and Data Scientists resources to Pods based on delivery needs and priorities
Provide technical guidance and support to Senior AI Developers, AI Tech Leads and Data Scientists, helping them translate business objectives into scalable, secure, and reusable solutions
Monitor and manage risk and quality, ensuring compliance with enterprise-grade standards and responsible AI principles
Facilitate knowledge sharing, documentation, and peer learning within the India AI Developer community
Act as the focal point for feedback, escalation, and communication between India-based AI Developers and the broader AI Tech Chapter

What we offer

Commitment to your ongoing development, including on the job opportunities and formal programs
Inclusive parental leave entitlements for both parents
Values led culture
Flexible work options
Generous annual leave, sick leave and casual leave
Cultural and religious leave with flexible public holiday opportunities
A competitive remuneration package featuring performance based incentives with uncapped Employer Provident Fund

Fulltime

GenAI Model Risk Data Scientist

Citi

Location:
United States , Jersey City ▼
New York

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
September 09, 2025

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