Generative AI Validation - Senior Analyst Job at Citi (Mumbai)

Quantitative Senior Analyst

The Model/Anlys/Valid Sr Analyst is a seasoned professional role requiring advan...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

8-13 years experience in business and data analysis, process improvement and project management
Ability to effectively use complex analytical, interpretive and problem solving techniques
Demonstrated interpersonal, verbal and written communication skills
Methodical attention to detail
Knowledge in statistics and statistical modeling
Experience using tools for statistical modeling of large data set
Advanced Python programming skills
Advanced Analytics skills
Experience in ML / Generative AI
Proficient in MS Office applications (Excel, Word, PowerPoint)

Job Responsibility

Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function
Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business
Evaluates moderately complex and variable issues with substantial potential impact
Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources
Regularly assumes informal/formal leadership role within teams
Involved in coaching and training of new recruits

What we offer

Resources to meet your unique needs
Empowerment to make healthy decisions
Management of financial well-being to help plan for your future
Inclusive workplace
Volunteerism opportunities

Fulltime

Senior Product Manager Data & AI

Wunder Mobility builds the software that powers shared mobility worldwide. Our p...

Location

Germany , Hamburg

Salary:

Not provided

Wunder Mobility

Expiration Date

Until further notice

Requirements

Proven track record as a Product Owner / Product Manager in B2B SaaS
Experience with data products, analytics, and AI-powered solutions is a strong plus
Strong commercial orientation: able to define pricing and positioning to reach revenue targets
Ability to lead research, speak directly with clients, and validate product-market fit
Experience writing product documentation and customer-facing content
Hands-on, entrepreneurial mindset: able to start lean and learn before scaling
Excellent communication skills across technical, commercial, and leadership teams

Job Responsibility

End-to-end ownership: Take over from our Co-CEO, who has been covering this track, and lead vision, roadmap, execution and quality assurance
Customer-facing leadership: Speak directly with operators to get valuable insights about pains and needs, validate use cases, and ensure our products solve problems worth paying for
Define KPIs & insights: Work with operators to identify which metrics matter, and ensure our product delivers actionable data and actions
Strategy & monetization: Shape product tiers, define pricing strategy, and position them in the market
Go-to-market contributions: Write helpful documentation and lead-generating product marketing content that supports adoption and customer success
Drive adoption: Deliver business impact for clients and revenue impact for Wunder by ensuring that the product and its features are not just launched, but actively used
Scalable foundation: Lay the groundwork for growing the team as the product line expands
Define and prioritize the analytics & AI roadmap, aligned with business goals
Lead customer research: run interviews, test prototypes, validate pricing and willingness-to-pay
Collaborate with your team of a data analyst and AI engineers to deliver valuable features in high quality

What we offer

Hybrid model: 3 days in our Hamburg office, 2 days remote
25-day paid & unlimited unpaid vacation: Take the time to rest and recharge!
30-day workation: Work from anywhere in the world once a year
Future growth: Opportunity to build and lead a team as the product line scales

Fulltime

Senior Data Scientist

Location

India , Bengaluru

Salary:

Not provided

ADM

Expiration Date

Until further notice

Requirements

Bachelor's degree in Data Science, Machine Learning, Computer Science, Statistics, or a related field. Master’s degree or Ph.D. is a plus
7+ years of experience in data science, machine learning, or AI, with demonstrated success in building models that drive business outcomes
Proficient in Python, R, and SQL for data analysis, modeling, and data pipeline development
Experience with DevSecOps practices, and tools such as GitHub, Azure DevOps, Terraform, Bicep, AquaSec etc
Experience with cloud platforms (Azure, AWS, Google Cloud) and large-scale data processing tools (e.g., Hadoop, Spark)
Strong understanding of both supervised and unsupervised learning models and techniques
Experience with frameworks like TensorFlow, PyTorch, and working knowledge of Generative AI models like GPT and GANs
Hands-on experience with Generative AI techniques, but with a balanced approach to leveraging them where they can add value
Proven experience in rapid prototyping and ability to iterate quickly to meet business needs in a dynamic environment

Job Responsibility

Lead end-to-end machine learning projects, from data exploration, modeling, and deployment, ensuring alignment with business objectives
Utilize traditional AI/data science methods (e.g., regression, classification, clustering) and advanced AI methods (e.g., neural networks, NLP) to address business problems and optimize processes
Implement and experiment with Generative AI models based on business needs using Prompt Engineering, Retrieval Augmented Generation (RAG) or Finetuning, using LLM's, LVM's, TTS etc
Collaborate with teams across Digital & Innovation, business stakeholders, software engineers, and product teams, to rapidly prototype and iterate on new models and solutions
Mentor and coach junior data scientists and analysts, fostering an environment of continuous learning and collaboration
Adapt quickly to new AI advancements and technologies, continuously learning and applying emerging methodologies to solve complex problems
Work closely with other teams (e.g., Cybersecurity, Cloud Engineering) to ensure the successful integration of models into production systems
Ensure models meet rigorous performance, accuracy, and efficiency standards, performing cross-validation, tuning, and statistical checks
Communicate results and insights effectively to both technical and non-technical stakeholders, delivering clear recommendations for business impact
Ensure adherence to data privacy, security policies, and governance standards across all data science initiatives

Senior Data Scientist

We are seeking a highly experienced and motivated Senior Data Scientist to join ...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field, with 8–14 years of relevant experience

Job Responsibility

Lead the design, development, and deployment of advanced analytics, statistical models, and machine learning solutions to generate actionable insights that enhance compliance monitoring, auditing, and risk assessment
Manage and oversee data science projects end-to-end, including project scoping, planning, execution, and delivery
ensure quality control (QC) and validation of work produced by junior data scientists
Develop scalable, automated data pipelines and AI-driven analytics products to improve efficiency and accuracy in audit and compliance processes
Partner with cross-functional stakeholders across Compliance, Internal Audit, Commercial, R&D, and Information Systems to design and implement analytics solutions aligned with business priorities
Access, integrate, and analyze data from multiple enterprise systems (e.g., SAP, Concur, Salesforce.com) to identify trends, anomalies, and compliance risks
Serve as a technical and analytical mentor to data scientists and analysts, promoting best practices in data science methodology, documentation, and reproducibility
Stay current with emerging technologies and techniques, including generative AI, agentic AI, and automation frameworks, to continuously advance analytical capabilities
Effectively communicate complex analytical concepts and findings to both technical and non-technical audiences, including senior leaders
Contribute to strategic planning and roadmap development for analytics initiatives within Compliance and Internal Audit

What we offer

competitive and comprehensive Total Rewards Plans that are aligned with local industry standards

Senior Product Manager - AI Workflows (Hedge Funds)

We are seeking a visionary Senior Product Manager with deep, first-hand experien...

Location

United States , New York

Salary:

177000.00 - 256000.00 USD / Year

AlphaSense

Expiration Date

Until further notice

Requirements

At least 2+ years of direct experience working as an Analyst or Associate at a top-tier Hedge Fund
Deep, first-hand experience in the investment research process
~5 years of experience at a top-tier Hedge Fund
Strong grasp of Generative AI
Comfortable with prompt engineering
Ability to articulate complex financial concepts to non-finance backgrounds
Ability to leverage basic data analytics and SQL is a plus

Job Responsibility

Champion the Customer Perspective
Lead AI Prompt Engineering & Validation
Identify Opportunities
Collaborate Across Teams
Drive Continuous Improvement

What we offer

Performance-based bonus
Equity
Generous benefits program

Fulltime

Senior Machine Learning Engineer, Generative AI Products

Lead comprehensive applications/web development for highly complex projects; typ...

Location

United States , Boston

Salary:

Not provided

HBS

Expiration Date

Until further notice

Requirements

Minimum of seven years’ post-secondary education or relevant work experience
Bachelor's degree in mathematics, physics, computer science, engineering, statistics, or an equivalent technical discipline desired
Minimum of five years’ software development experience with Python and SQL
Minimum of three years’ experience building pipelines to deploy NLP and deep learning models into production in a cloud environment
Minimum three years’ experience using PyTorch, Tensorflow, or MXNet, along with optimizing code for GPU clusters
Experience building advanced workflows such as retrieval augmented generation, model chaining, dynamic prompting, PEFT/SFT, etc. using Langchain and similar tools
Experience establishing model guardrails and developing bias detection and mitigation techniques for AI applications using tools such as NeMo
Experience with various embedding models and setting up and tuning vector databases to improve performance of semantic search and retrieval systems
Understand the underlying fundamentals such as Transformers, Self-Attention mechanisms that form the theoretical foundation of LLMs
Experience working with a variety of relational SQL and NoSQL databases, big data tools: Hadoop, Spark, Kafka

Job Responsibility

Build trust and collaboration by being present on-site and engaging directly with colleagues and various constituents
Architect, build, maintain, and improve new and existing suite of GenAI applications and their underlying systems
Automate machine learning pipelines, monitor performance and costs, and optimize models by using techniques such as LoRA/QLoRA
Establish reusable frameworks to streamline model building, deployment and monitoring
Incorporate comprehensive monitoring, logging, tracing, and alerting mechanisms
Build guardrails, compliance rules and oversight workflows into the GenAI application platform, such as establishing approval chains for model updates and staged rollout for production releases
Develop templates, guides and sandbox environments for easy onboarding of new contributors and experimentation with new techniques
Ensure development of user-facing applications in the GenAI application platform is easy and safe by enforcing rigorous validation testing before publishing user-generated models and implement a clear peer review process of applications
Use your entrepreneurial spirit to identify new opportunities to optimize business processes, improve consumer experiences, and prototype solutions to demonstrate value
Work closely with data scientists and analysts to create and deploy new product features online and in mobile apps

What we offer

Generous paid time off including parental leave
Medical, dental, and vision health insurance coverage starting on day one
Retirement plans with university contributions
Wellbeing and mental health resources
Support for families and caregivers
Professional development opportunities including tuition assistance and reimbursement
Commuter benefits, discounts and campus perks

Fulltime

Vice President of Marketing

AI product trusted by industry leaders like Oracle, Intel, and Moderna is seekin...

Location

United States , Austin; DC; VA

Salary:

250000.00 - 300000.00 USD / Year

Orbis Consultants

Expiration Date

Until further notice

Requirements

8+ years in enterprise or B2B marketing
At least 4 years in a senior leadership role
Experience in AI, cloud, SaaS, or data technology markets
Proven success building and scaling marketing functions in high-growth environments
Deep knowledge of integrated marketing, demand gen, and performance marketing
Strong leadership, communication, and cross-functional collaboration skills
Comfortable balancing strategic vision with hands-on execution
Passion for AI, innovation, and building trustworthy, meaningful technology

Job Responsibility

Develop and execute a comprehensive marketing strategy aligned with company objectives
Define brand narrative, positioning, and product messaging to differentiate in a competitive AI market
Lead go-to-market strategies for new product introductions and market expansion
Own and scale demand generation programs across channels—digital, ABM, events, SEO, and paid media
Build campaigns that generate high-quality leads, accelerate the pipeline, and improve conversion rates
Partner with Sales to ensure seamless lead handoff and measurable revenue contribution
Build a high-performing content engine to support inbound marketing and sales enablement
Create and manage blogs, case studies, whitepapers, videos, and webinars
Position the company as a thought leader in AI transparency, explainability, and real-world application
Develop and manage PR strategies and agency relationships to boost brand awareness

What we offer

401(k) with company matching
Medical, Dental, and Vision insurance for you and your family
Life insurance and disability coverage
Unlimited PTO + 13 paid holidays
Professional development budget for certifications, training, and events
Employee Assistance Program
15% Bonus
Equity

Fulltime

Senior Applied AI Scientist

Microsoft Sentinel Platform NEXT R&D labs is the strategic incubation engine beh...

Location

United States , Multiple Locations

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience
Candidates must be able to meet Microsoft, customer and/or government security screening requirements are required for this role
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience
3+ years working with Machine Learning (ML)/Artificial Intelligence (AI) systems (e.g., Large Language Models (LLM/LRM)/Generative AI (GenAI), retrieval/Retrieval-Augmented Generation (RAG), model serving, experimentation platforms, data pipelines) including establishing evaluation metrics and improving model quality
Demonstrated success driving zero-to-one (0→1) initiatives
ML background and hands-on experience
Experience with ML lifecycle: model training, fine-tuning, evaluation, continuous monitoring, and more
Coding ability in one or more languages (e.g., Python, C#, C++, Rust, JavaScript/TypeScript)
Familiarity and previous work in the field of cybersecurity (e.g., threat detection/response, SIEM/SOAR, identity, endpoint, cloud security) and familiarity with analyst workflows

Job Responsibility

AI/ML Research: design, development, and analysis of novel AI and machine learning models and algorithms for security and enterprise-scale applications
Innovate Across Domains: Explore and apply a broad spectrum of AI/ML techniques, including deep learning, Bayesian probabilistic modeling, classical ML, generative models, and hybrid approaches
Experimentation & Evaluation: Design and execute experiments, simulations, and evaluations to validate models and system performance, ensuring measurable improvements
Collaboration: Partner with engineering, product, and research teams to translate scientific advances into robust, scalable, and production-ready solutions
Customer Impact: Engage with enterprise customers and field teams to co-design solutions, gather feedback, and iterate quickly based on real-world telemetry and outcomes

Fulltime

Generative AI Validation - Senior Analyst

Citi

Location:
India , Mumbai ▼
Bengaluru

Category:
Finance

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 21, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for Generative AI Validation - Senior Analyst

Quantitative Senior Analyst

Senior Product Manager Data & AI

Senior Data Scientist

Senior Data Scientist

Senior Product Manager - AI Workflows (Hedge Funds)

Senior Machine Learning Engineer, Generative AI Products

Vice President of Marketing

Senior Applied AI Scientist

Generative AI Validation - Senior Analyst

Citi

Location:India , Mumbai ▼Bengaluru

Category:Finance

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:February 21, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for Generative AI Validation - Senior Analyst

Quantitative Senior Analyst

Senior Product Manager Data & AI

Senior Data Scientist

Senior Data Scientist

Senior Product Manager - AI Workflows (Hedge Funds)

Senior Machine Learning Engineer, Generative AI Products

Vice President of Marketing

Senior Applied AI Scientist

Location:
India , Mumbai ▼
Bengaluru

Category:
Finance

Contract Type:
Not provided

Job Posted:
February 21, 2026