Post Implementation Validation & Production Monitoring Manager Job at Citi (Mumbai)

Staff AI Product Manager

At Mirakl, we are embedding state-of-the-art foundation models into our SaaS pla...

Location

France , Paris, Bordeaux

Salary:

Not provided

Mirakl

Expiration Date

Until further notice

Requirements

7+ years of SaaS product management, with deep technical ownership over AI/ML features
MSc/PhD in Computer Science, Machine Learning, or equivalent hands-on expertise
Strong technical fluency in GenAI ecosystems: LLMs, fine-tuning, RAG systems, embeddings, structured output modeling
Hands-on experience working with AI/ML teams on model lifecycle: evaluation, A/B testing, fine-tuning, and post-deployment monitoring
Analytical and experimental mindset: you know how to validate an LLM product beyond demos
Familiarity with computer vision pipelines, data labeling ops, or human-in-the-loop AI systems
Fluent in French and English

Job Responsibility

Product Strategy : Own end-to-end AI product strategy and execution for Catalog transformer (attribute extraction, translation, enrichment, and media improvement & moderation) across Mirakl products
Own the integration and evaluation of GenAI models, ensuring quality, reliability, and performance
Drive experimentation with GenAI tooling and scalable deployments
Product Management & ownership: Implement and improve processes for AI squads and between Data Scientist and product Squads
Drive cross-functional collaboration with AI researchers / Datascientist, PM, designers, and engineers to deliver impactful features
Collaborate on AI infra choices (modeling, retrieval stores, quality monitoring)
Help recruiting and training other PM AI
Product evangelisation : Build internal tooling and evaluation pathways to enable Sales and CS teams to showcase GenAI capabilities
Popularize and promote our AI solutions to facilitate adoption by our customers and prospects by acting as an expert

Staff AI Product Manager

At Mirakl, we are embedding state-of-the-art foundation models into our SaaS pla...

Location

France , Paris; Bordeaux

Salary:

Not provided

Mirakl

Expiration Date

Until further notice

Requirements

7+ years of SaaS product management, with deep technical ownership over AI/ML features
MSc/PhD in Computer Science, Machine Learning, or equivalent hands-on expertise
Strong technical fluency in GenAI ecosystems: LLMs, fine-tuning, RAG systems, embeddings, structured output modeling
Hands-on experience working with AI/ML teams on model lifecycle: evaluation, A/B testing, fine-tuning, and post-deployment monitoring
Analytical and experimental mindset: you know how to validate an LLM product beyond demos
Familiarity with computer vision pipelines, data labeling ops, or human-in-the-loop AI systems
Fluent in French and English

Job Responsibility

Own end-to-end AI product strategy and execution for Catalog transformer (attribute extraction, translation, enrichment, and media improvement & moderation) across Mirakl products
Own the integration and evaluation of GenAI models, ensuring quality, reliability, and performance
Drive experimentation with GenAI tooling and scalable deployments
Implement and improve processes for AI squads and between Data Scientist and product Squads
Drive cross-functional collaboration with AI researchers / Datascientist, PM, designers, and engineers to deliver impactful features
Collaborate on AI infra choices (modeling, retrieval stores, quality monitoring)
Help recruiting and training other PM AI
Build internal tooling and evaluation pathways to enable Sales and CS teams to showcase GenAI capabilities
Popularize and promote our AI solutions to facilitate adoption by our customers and prospects by acting as an expert

Staff AI Product Manager

At Mirakl, we are embedding state-of-the-art foundation models into our SaaS pla...

Location

France , Paris; Bordeaux

Salary:

Not provided

Mirakl

Expiration Date

Until further notice

Requirements

7+ years of SaaS product management, with deep technical ownership over AI/ML features
MSc/PhD in Computer Science, Machine Learning, or equivalent hands-on expertise
Strong technical fluency in GenAI ecosystems: LLMs, fine-tuning, RAG systems, embeddings, structured output modeling
Hands-on experience working with AI/ML teams on model lifecycle: evaluation, A/B testing, fine-tuning, and post-deployment monitoring
Analytical and experimental mindset: you know how to validate an LLM product beyond demos
Familiarity with computer vision pipelines, data labeling ops, or human-in-the-loop AI systems
Fluent in French and English

Job Responsibility

Own end-to-end AI product strategy and execution for Catalog transformer (attribute extraction, translation, enrichment, and media improvement & moderation) across Mirakl products
Own the integration and evaluation of GenAI models, ensuring quality, reliability, and performance
Drive experimentation with GenAI tooling and scalable deployments
Implement and improve processes for AI squads and between Data Scientist and product Squads
Drive cross-functional collaboration with AI researchers / Datascientist, PM, designers, and engineers to deliver impactful features
Collaborate on AI infra choices (modeling, retrieval stores, quality monitoring)
Help recruiting and training other PM AI
Build internal tooling and evaluation pathways to enable Sales and CS teams to showcase GenAI capabilities
Popularize and promote our AI solutions to facilitate adoption by our customers and prospects by acting as an expert

Credit Portfolio Analyst II

The Credit Portfolio Analyst II is responsible for the end-to-end management and...

Location

India , Mumbai; Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Bachelor’s degree in information technology, Business, Risk Management, or a related field
2+ years of experience in risk management, technology operations, or production monitoring in corporate banking/financial institutions
knowledge of corporate finance, financial modeling, credit and banking products, credit analytics, risk assessment, and transaction execution
basic understanding of credit risk management, technology platforms, and operational risk controls, particularly in the context of post-implementation processes
familiarity with modern monitoring tools, risk management frameworks, and production systems used to assess technology performance in real-time (SAS/Tableau/AI/Oracle) supported by relevant programming skills
statistical knowledge – familiar with key statistical metrics/concepts
knowledge of regulatory requirements related to credit risk, data management, and customer-facing platforms, ensuring alignment with post-implementation and monitoring processes
strong strategic thinker with the ability to anticipate production challenges and operational risks in post-implementation environments, developing robust solutions that enhance system performance
experience in problem-solving complex operational issues, leveraging cross-functional expertise, and driving long-term improvements in production systems
strong analytical skills in conducting analysis using bureau/application/customer data to identify anomalies and adverse trends

Job Responsibility

Perform the validation of all customer-facing credit risk platforms post-deployment, ensuring that they function as intended, align with business strategies, and meet regulatory requirements
development and execution of post-implementation validation frameworks, focusing on model performance, rule accuracy, and platform effectiveness across all credit risk decisioning systems
partner with risk management, IT, and operations teams to assess potential vulnerabilities, gaps, or deficiencies in system performance and address them promptly
support to establish a robust framework for ongoing production monitoring of credit risk platforms, ensuring proactive identification and resolution of system performance issues
implement real-time and batch monitoring processes that assess credit risk platforms’ operational performance, data integrity, and customer impact across various product lines
ensure timely resolution of production issues, including the identification of root causes, formulation of solutions, and collaboration with technology teams to implement necessary fixes or enhancements
ensure all customer-facing credit risk platforms perform reliably in production, minimizing any negative impact on the customer experience due to system errors, downtimes, or performance issues
support initiatives to continuously improve platform stability, reducing risk to customers and ensuring the organization’s credit risk models and rules are consistently delivering accurate decisions
engage with business stakeholders to understand customer needs and expectations, ensuring production systems evolve to meet them efficiently and effectively
ensure all post-implementation validation and production monitoring activities meet regulatory and compliance requirements, including alignment with policies related to credit risk, data usage, and customer protection

What we offer

Equal opportunity employment
support for people with disabilities
best-in-class benefits for employees to be well, live well and save well

Fulltime

Credit Portfolio Analyst - Risk Systems and Execution - Production Monitoring

The Credit Portfolio Analyst II is an intermediate-level position responsible fo...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Bachelor’s degree in information technology, Business, Risk Management, or a related field
2+ years of experience in risk management, technology operations, or production monitoring in corporate banking/ financial institutions
Knowledge of corporate finance, financial modelling, credit and banking products, credit analytics, risk assessment, and transaction execution
Basic understanding of credit risk management, technology platforms, and operational risk controls
Familiarity with modern monitoring tools, risk management frameworks, and production systems used to assess technology performance in real-time (SAS/ Tableau/ AI/ Oracle) supported by relevant programming skills
Statistical knowledge – familiar with key statistic metrics/ concepts
Knowledge of regulatory requirements related to credit risk, data management, and customer-facing platforms
Strong strategic thinker with the ability to anticipate production challenges and operational risks
Experience in problem-solving complex operational issues
Strong analytical skills in conducting analysis using bureau/ application/ customer data to identify anomalies and adverse trends

Job Responsibility

Perform the validation of all customer-facing credit risk platforms post-deployment
Development and execution of post-implementation validation frameworks
Partner with risk management, IT, and operations teams to assess potential vulnerabilities
Establish and manage a robust framework for ongoing production monitoring of credit risk platforms
Implement real-time and batch monitoring processes that assess credit risk platforms’ operational performance, data integrity, and customer impact
Ensure timely resolution of production issues
Ensure all customer-facing credit risk platforms perform reliably in production
Support initiatives to continuously improve platform stability
Engage with business stakeholders to understand customer needs and expectations
Ensure all post-implementation validation and production monitoring activities meet regulatory and compliance requirements

Fulltime

Credit Portfolio Analyst - Rules Build

The Credit Portfolio Analyst II is an intermediate-level position responsible fo...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

2+ years of experience in credit risk analysis/consumer banking
Hands on experience on Base SAS, Advance SAS, SAS FMS/SAS Raptor, Autosys, Unix shell scripting, Bitbucket tools
Knowledge of credit and banking products, credit analytics, risk assessment, and transaction execution
Basic understanding of credit risk management, technology platforms, and operational risk controls, particularly in the context of post-implementation processes
Familiarity with modern monitoring tools, risk management frameworks, and production systems used to assess technology performance in real-time
Strong analytical skills in conducting analysis using authorizations transactions data to identify anomalies and adverse trends
Statistical knowledge – familiar with key statistic metrics/ concepts
Clear and concise written and verbal communication skills
Proven ability to work with little direction and in a team
Demonstrated accountability, self-motivation and business acumen

Job Responsibility

Rules Build: Analysis, design, and implementation of all credit risk rules to support models, strategies as well as adjudication actions
Core part of the role includes end to end implementation of new/existing Credit Line Decrease strategies along with monitoring jobs required for execution of strategies on daily basis
Additional responsibility as part of the role includes, creating new rules or maintaining existing credit rules for Authorizations in SAS Fraud Management System (FMS) / SAS Raptor tool and perform unit testing to validate the rules logic
Test individual components of the business rules and models to ensure they function as intended
Complete unit testing of all rule build activities
support testing on all defects
Subject matter expertise in the data for the business object model (BOM) data that is used for reporting, analytics, and decisions coming from Rules Build
Stay abreast of technological advancements and industry best practices to continuously improve the credit risk strategies
Pre & Post-Implementation Validation: Perform the rules validation of all customer-facing credit risk platforms post-deployment
Development and execution of Authorization credit rules validation frameworks

Fulltime

Vice President, Consumer Credit Risk

The Vice President (VP) roles within Consumer Credit Risk are senior-level posit...

Location

India , Pune; Mumbai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Extensive Industry Experience: Significant years of experience (typically 10+ years, with specific roles requiring 5+ years in team leadership) in credit risk management, financial services, technology operations, project management, or related highly regulated environments
Leadership & Team Development: Proven track record of leading, mentoring, and developing high-performing teams
Demonstrated ability to lead cross-functional initiatives and manage complex projects effectively
Credit Risk & Regulatory Acumen: Deep understanding of credit risk models, decisioning platforms, and regulatory reporting requirements
Strong knowledge of regulatory frameworks impacting credit reporting and risk management, including FCRA
Analytical & Strategic Thinking: Exceptional analytical skills to interpret complex data, assess risks, and evaluate business impacts
Strong strategic thinking and problem-solving abilities to anticipate challenges and develop robust, long-term solutions
Data & Technical Proficiency: Expertise in data governance, data integration, data transformation, and data quality assurance
Proficiency in relevant tools and technologies such as SAS, SQL, and familiarity with modern monitoring, automation, and AI/ML concepts
Communication & Interpersonal Skills: Excellent communication (verbal and written) and presentation skills

Job Responsibility

Strategic Leadership & Management: Lead and manage teams responsible for credit risk initiatives, projects, and operations
Oversee the end-to-end management of critical processes, from post-implementation validation to ongoing production monitoring and change management
Foster a culture of accountability, continuous improvement, and regulatory excellence within teams
Risk & Control Frameworks: Establish, implement, and enhance governance and control frameworks for credit risk platforms and data
Proactively identify, assess, and mitigate operational risks, including control breaks and production issues
Develop and manage robust monitoring processes to ensure system stability, performance, and data integrity
Regulatory Compliance & Audit: Ensure strict adherence to regulatory requirements, particularly the Fair Credit Reporting Act (FCRA), as well as OCC, CFPB, and Fed regulations
Collaborate with legal, compliance, and internal/external audit teams to ensure transparency, maintain audit trails, and address regulatory expectations
Data Lifecycle Management: Oversee the integration, transformation, and accurate utilization of credit risk data, including data from third-party credit bureaus
Ensure data quality, accuracy, and timeliness throughout its lifecycle to support sound credit risk decisioning and regulatory reporting

Fulltime

Senior Software Engineer

We are looking for true team players who think like engineers but act like produ...

Location

Spain , Madrid

Salary:

Not provided

IKEA

Expiration Date

Until further notice

Requirements

Take end-to-end ownership of features—from understanding the problem through to measuring post-launch impact
Collaborate closely with Product Managers during discovery, contributing technical feasibility insights and creative solutions
Think in terms of user outcomes and business metrics, not just technical deliverables
Make data-driven decisions using analytics, user research, and experimentation
Be comfortable with ambiguity and helping define what to build, not just how to build it
Develop using Microservices technology (Docker, Kubernetes, Serverless, etc., especially in GCP)
Build software with modern web technologies: HTML/CSS, JavaScript, TypeScript, React/Angular/Vue
Work across the stack: frontend, backend (Python, Java, Node.js), and databases (SQL)
Implement and maintain CI/CD pipelines with a DevOps mindset
Champion clean code, design patterns, and engineering best practices

Job Responsibility

Take end-to-end ownership of features—from understanding the problem through to measuring post-launch impact
Collaborate closely with Product Managers during discovery, contributing technical feasibility insights and creative solutions
Think in terms of user outcomes and business metrics, not just technical deliverables
Make data-driven decisions using analytics, user research, and experimentation
Be comfortable with ambiguity and helping define what to build, not just how to build it
Design and implement A/B tests and feature flags to validate hypotheses
Instrument applications for analytics and monitoring
Analyse user behaviour data to inform product decisions
Use metrics to measure success and iterate on solutions
Communicate technical concepts to non-technical stakeholders

What we offer

A great culture
A people and planet-positive work environment
Many other perks

Fulltime

Post Implementation Validation & Production Monitoring Manager

Citi

Location:
India , Mumbai

Category:
Finance

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
October 01, 2025

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