Senior Associate - Model Validation and AI Governance Job at Apollo Solutions (New York)

Senior Associate - Model Validation and AI Governance

As part of a dynamic AI and Data function, you will play a key role in ensuring ...

Location

United States , New York

Salary:

124000.00 - 177000.00 USD / Year

Apollo Solutions

Expiration Date

Until further notice

Requirements

Postgraduate qualification in a quantitative discipline such as Statistics, Data Science, Computer Science, Mathematics, Economics, or Engineering
Proven experience (typically 4+ years) in model validation, governance, or risk management within regulated environments, covering both statistical and AI/ML models
Strong understanding of modelling techniques (e.g., regression methods, survival analysis, gradient boosting, neural networks, and feature engineering practices)
Proficient in Python and SQL
Able to convey complex technical concepts clearly to diverse audiences and work effectively across multidisciplinary teams
Skilled in interpreting complex documentation and translating requirements into precise and practical deliverables
Self-driven, curious, and committed to continuous learning and improvement

Job Responsibility

Model methodology review: Assess model design choices, data sources, feature engineering, and performance metrics, providing constructive challenge where necessary
Independent validation: Critically evaluate both traditional statistical models and modern AI approaches by replicating results, testing alternatives, and, where appropriate, developing challenger models to assess risk and impact
Reporting and documentation: Produce detailed validation reports alongside clear, accessible summaries for non-technical audiences, using concise language and effective visuals
Regulatory interpretation: Analyse technical documentation and regulatory guidance, converting requirements into practical validation frameworks, checklists, and controls
Ongoing monitoring: Define and track key indicators such as model drift, fairness, stability, and reliability, ensuring alignment with business performance metrics and supporting implementation of alerting mechanisms
Standards development: Help shape reusable frameworks, templates, and testing approaches across predictive, generative, and agent-based AI use cases, while promoting consistency and best practice across teams
Continuous development: Stay informed on emerging trends and advancements in statistics, machine learning, and artificial intelligence

What we offer

bonus

Fulltime

Senior Associate - Model Validation and AI Governance

We’re looking for a highly analytical and detail-oriented professional to join o...

Location

United States , New York

Salary:

120000.00 - 175000.00 GBP / Year

Apollo Solutions

Expiration Date

Until further notice

Requirements

Strong technical expertise (Python preferred
R or other statistical languages considered with solid AI knowledge)
Advanced degree (Master’s minimum
PhD in Statistics strongly preferred)
Experience in model validation, ideally within banking or financial services
Data scientists with a strong interest in model validation are also encouraged to apply
Excellent collaboration and communication skills

Job Responsibility

Review and test machine learning and statistical models prior to deployment
Ensure compliance with legal and regulatory standards, with a strong focus on bias and fairness
Collaborate cross-functionally with data scientists, ML engineers, data engineers, and product/project managers
Communicate complex technical findings clearly to both technical and non-technical stakeholders

Fulltime

Senior AI / ML Engineer

We are seeking an experienced Senior ML to join our team and engage in a diverse...

Location

United Kingdom , London

Salary:

Not provided

BMT

Expiration Date

Until further notice

Requirements

Be a UK sole national
Have held no other nationality at any time
Have continuously resided in the United Kingdom for the past five years
Be able to obtain and maintain full UK security clearance in accordance with government vetting standards
Provide satisfactory evidence of identity, nationality, and residency as part of the clearance process
Ability to select, train, and tune models (classical ML and deep learning) using frameworks such as PyTorch, TensorFlow, or scikit-learn
perform robust validation and error analysis
Experience containerising and deploying models (e.g., Docker), implement CI/CD, monitoring, drift detection, and automated retraining on Azure/AWS/GCP as appropriate
Strong engineering skills in Python (typing, testing, packaging)
experience with version control (Git) and code review workflows

Job Responsibility

Designing, building, testing, and deploying machine-learning systems, applying robust software engineering practices and an in-depth understanding of model behaviour, performance, and limitations
Selecting and preparing data pipelines for model training and inference
Implementing, training, evaluating, and optimising machine-learning models, continually improving them through iterative experimentation and additional data
Creating scalable and automated ML pipelines, including feature extraction, model training, validation, packaging, deployment, and monitoring
Applying standardised engineering and evaluation methods, producing clear technical documentation and communicating design choices, performance outcomes, and limitations
Evaluating data integrity and suitability for ML workflows, and advising on transformations, feature representation, and schemas needed for efficient training and inference
Applying engineering-focused data modelling and system design techniques to create, modify, or maintain ML-relevant data structures, feature stores, and associated components
Supporting alignment of data structures, model interfaces, and infrastructure components to ensure efficient and scalable ML system operation

What we offer

Private Medical (family coverage)
Enhanced Pension
18 weeks enhanced maternity pay (after a qualifying period of 1 year)
Family friendly policies
Committed to an inclusive culture
Wellbeing Fund – an annual fund for personal hobbies or interests
26 Days Annual Leave (plus bank holidays)
Holiday Trading
Retail Vouchers
Professional Subscriptions

Fulltime

Corporate Development Associate

This Corporate Development Associate role is a critical position supporting the ...

Location

United States , Boston

Salary:

Not provided

BrainWorks

Expiration Date

Until further notice

Requirements

2-4 years of experience in investment banking, private equity, management consulting, corporate development, or a similar analytical role where you built strong financial modeling and business evaluation skills
Involved in M&A transactions, business case development, or strategic analysis projects where you took ownership of meaningful workstreams
Ability to read, analyze, and interpret general financial documents, professional journals, technical procedures, or government regulations
Ability to write reports and business correspondence
Ability to effectively present information and respond to questions from managers, supervisors, and employees
Fluent in English
Ability to perform calculations involving discounts, interest, commissions, percentages, and ratios
Comfortable applying mathematical concepts such as fractions, percentages, and basic algebra to practical business scenarios
Ability to solve practical problems and handle a variety of variables in situations where limited standardization exists
Interpreting and following instructions delivered in written, oral, diagrammatic, or schedule format

Job Responsibility

Lead market and technical assessments to identify and validate specific investment theses that drive the company’s capital allocation strategy
Source and evaluate acquisition opportunities, including drafting investment memos, building financial models, and presenting recommendations to senior leadership and the investment committee
Manage diligence workstreams for active M&A projects, coordinating technical, financial, commercial, and operational due diligence with internal teams and external advisors
Proactively identify and cultivate acquisition targets outside of marketed processes through systematic market mapping, industry relationship building, and direct outreach to business owners and intermediaries
Build and maintain deal pipeline, tracking opportunities from initial screening through LOI, diligence, and close
Manage productization initiatives to identify, develop, and commercialize new products and capabilities across the company’s member companies
Conduct technical and market assessments to evaluate new product opportunities, including addressable market size, competitive positioning, technical feasibility, and financial returns
Collaborate with member company leadership and engineering teams to define product roadmaps, business cases, and go-to-market strategies
Support cross-portfolio initiatives that leverage shared capabilities, technology platforms, or customer relationships to drive organic growth
Identify partnership and technology licensing opportunities that accelerate capability development or market access

Fulltime

Loss Forecasting and Stress Testing Analytics - Vice President

This is an exceptional opportunity for a developing professional to independentl...

Location

India , Haryana; Mumbai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10+ years of progressive experience in financial services, business analytics, or management consulting, with a strong emphasis on quantitative analysis
A post-graduate degree in a quantitative discipline such such as Statistics, Mathematics, Economics, Econometrics, Management, Operations Research, or Engineering
Demonstrated proficiency in analytical and automation tools (e.g., Python, SAS, VBA, Tableau) and a keen interest in leveraging AI for enhanced efficiency
Strong understanding of risk management principles
Experience with Loss Forecasting/CECL/ Stress Testing is highly preferred
Knowledge of the mortgage and/or retail bank industry and associated regulatory activities is a significant advantage
Exceptional quantitative aptitude, critical thinking, and problem-solving abilities, with a track record of delivering high-quality results
Excellent written and verbal communication skills, with the ability to articulate complex analytical concepts to diverse audiences
A strong work ethic, a collaborative spirit, and the ability to thrive in both independent and team-oriented environments
Bachelor’s/University degree or equivalent experience, potentially Masters degree

Job Responsibility

Lead Forecasting & Stress Testing: Drive the execution of quarterly loss/loan loss reserve forecasting and stress testing processes (e.g., CCAR, QMMF, Recovery Plan) for US mortgage and retail bank portfolios
Enhance Model Validation & Integrity: Actively participate in the review and challenge of existing models and their outputs
Strategic Policy Analytics: Conduct sophisticated risk policy analytics to quantify the impact of credit, business, and regulatory policies on loss performance
Advanced Econometric Analysis: Perform in-depth econometric analysis to estimate and articulate the influence of changing macro-economic trends on key performance indicators
Data-Driven Insights & Automation: Understand and analyze the key drivers of losses and loan loss reserves
Cross-Functional Collaboration: Partner with Risk and Finance organizations to optimize data sourcing, definition, extraction, and utilization processes
Process Optimization & Innovation: Identify and champion opportunities for process efficiencies through automation (using Python, VBA, SAS, Tableau)
Governance & Compliance Excellence: Oversee associated governance activities
Stakeholder Engagement & Communication: Present complex analytical findings and strategic recommendations to managers, key stakeholders, senior management, and various review, challenge, and audit teams
Ethical Risk Management: Consistently assess and mitigate risk in all business decisions

Fulltime

Loss Forecasting and Stress Testing Analytics - Assistant Vice President

This is an exceptional opportunity for a developing professional to independentl...

Location

India , Haryana, India, Mumbai, Maharashtra, India

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

7+ years of progressive experience in financial services, business analytics, or management consulting, with a strong emphasis on quantitative analysis
A post-graduate degree in a quantitative discipline such such as Statistics, Mathematics, Economics, Econometrics, Management, Operations Research, or Engineering
Demonstrated proficiency in analytical and automation tools (e.g., Python, SAS, VBA, Tableau) and a keen interest in leveraging AI for enhanced efficiency
Strong understanding of risk management principles
Experience with Loss Forecasting/CECL/ Stress Testing is highly preferred
Knowledge of the mortgage and/or retail bank industry and associated regulatory activities is a significant advantage
Exceptional quantitative aptitude, critical thinking, and problem-solving abilities, with a track record of delivering high-quality results
Excellent written and verbal communication skills, with the ability to articulate complex analytical concepts to diverse audiences
A strong work ethic, a collaborative spirit, and the ability to thrive in both independent and team-oriented environments
Bachelor’s/University degree or equivalent experience, potentially Masters degree

Job Responsibility

Lead Forecasting & Stress Testing: Drive the execution of quarterly loss/loan loss reserve forecasting and stress testing processes (e.g., CCAR, QMMF, Recovery Plan) for US mortgage and retail bank portfolios
Enhance Model Validation & Integrity: Actively participate in the review and challenge of existing models and their outputs, identifying opportunities for continuous improvement in alignment with portfolio performance and evolving macro-economic trends
Ensure models produce rational, logical, and accurate outcomes
Strategic Policy Analytics: Conduct sophisticated risk policy analytics to quantify the impact of credit, business, and regulatory policies on loss performance, seamlessly integrating these insights into the stress testing framework
Advanced Econometric Analysis: Perform in-depth econometric analysis to estimate and articulate the influence of changing macro-economic trends on key performance indicators such as portfolio losses and delinquency rates
Data-Driven Insights & Automation: Understand and analyze the key drivers of losses and loan loss reserves, their relative importance, and current trends
Leverage this knowledge to generate meaningful and accurate forecasts
Cross-Functional Collaboration: Partner with Risk and Finance organizations to optimize data sourcing, definition, extraction, and utilization processes, continuously improving our analytical capabilities
Process Optimization & Innovation: Identify and champion opportunities for process efficiencies through automation (using Python, VBA, SAS, Tableau), simplification of underlying data, forecasting, and reporting processes, including the innovative application of Citi AI solutions
Governance & Compliance Excellence: Oversee associated governance activities (Manager Control Assessment, End User Computing, Activity Risk Control Monitoring), ensuring best-in-class practices for documentation, version control, and central results summaries

Fulltime

Ai-Data Solutions Lead -Vice President

Citi, the leading global bank, has approximately 200 million customer accounts a...

Location

India , Mumbai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

13+ years of progressive experience in data analysis, business analysis, or systems analysis, with a strong emphasis on data quality initiatives, AI driven data analytics, and system implementation, preferably within a leadership or senior specialist capacity
Demonstrated advanced proficiency and practical application of Agentic AI, LLM, and GenAI tools for developing innovative data analytical solutions
Experience in designing and implementing AI/ML-driven data solutions is essential
Expert-level proficiency in data analysis and management tools and applications, including Oracle, PL-SQL, advanced data lineage tools, and enterprise data cataloging solutions
Strong familiarity with business intelligence and reporting concepts (e.g., dashboards, metrics, and reporting layers)
extensive hands-on experience reviewing documentation for BI tools such as Tableau is a significant plus
Proven leadership experience, including mentoring junior team members, fostering skill development, and leading cross-functional projects
Demonstrated ability to work independently with minimal supervision, taking full ownership of initiatives, and driving them to successful completion from conception to delivery
Extensive prior experience (minimum 6 years) in the banking or financial services industry is required, with deep exposure to enterprise risk management or specific risk management categories, including a strategic understanding of the role of data in risk reporting, monitoring, and decision-making
Exceptional analytical, problem-solving, and organizational skills, with the ability to interpret highly complex data requirements, synthesize diverse information, and translate them into actionable, executive-level specifications

Job Responsibility

Provide expertise on Data Governance and/or Data Risk and Controls framework including design, effectiveness, performance monitoring and self-assessment processes
Oversight and analysis of data-related issues, tracking of ownership and target dates and associated metrics and reporting
Lead and mentor a team of junior data analysts, fostering their professional growth, developing their technical and soft skills, and ensuring high-quality, impactful deliverables
Drive the adoption of best practices in data analysis, data governance, and project management across the team and contribute to a culture of continuous improvement
Lead and mentor a team of junior data analysts, fostering their professional growth, developing their technical and soft skills, and ensuring high-quality, impactful deliverables
Drive the adoption of best practices in data analysis, data governance, and project management across the team and contribute to a culture of continuous improvement
Spearhead the integration and advanced application of Agentic AI, LLM, and other Generative AI (GenAI) tools to develop sophisticated and innovative data analytical solutions for Enterprise Risk Management
Define, develop, and implement AI/ML strategies for predictive modeling, advanced anomaly detection, automated reporting, and enhanced risk insights within the financial risk domain
Evaluate and recommend new AI/ML technologies and methodologies to continuously improve data analysis and reporting capabilities
Proactively identify strategic data opportunities and challenges, proposing innovative solutions to enhance Enterprise Risk Management capabilities and reporting effectiveness

Fulltime

Director of Deal Desk

As a senior leader within the Solutions function, the Director of Deal Desk is t...

Location

Salary:

Not provided

Superside

Expiration Date

Until further notice

Requirements

Significant experience in Deal Desk, sales operations/strategy, or a pricing/scoping role within a creative, marketing, or professional services environment
Proven track record managing or leading a team, with the ability to develop talent and maintain high-quality output in a fast-paced environment
Strong commercial acumen — able to structure deals that are both competitive for customers and margin-sound for the business
Analytical and data-driven, with the ability to track performance, identify patterns, and make evidence-based recommendations
Genuine curiosity about and fluency with AI tools — particularly as they apply to commercial operations, proposal generation, and workflow automation
Highly organized, with the ability to manage multiple concurrent deals and priorities without losing accuracy or responsiveness
Strong communication skills — clear, concise, and credible with both internal stakeholders and, when needed, customers

Job Responsibility

Deal Pricing & Scoping: Own end-to-end pricing and scoping support for the largest enterprise deals, ensuring commercial accuracy and alignment with Superside's service offerings and delivery capacity
Review and validate your team's scopes, pricing structures, and deal configurations across the opportunity pipeline
Partner closely with Account Executives and the broader Solutions team to translate discovery findings and customer requirements into commercially viable proposals
Partner with internal subject matter experts to strengthen scoping and solution quality on complex, high-stakes deals
AI & Process Innovation: Champion the use of AI tools to accelerate Deal Desk operations — from automating scope generation and pricing lookups to surfacing insights from historical deal data
Identify where AI can reduce manual effort and increase speed and accuracy across the pricing & scoping workflow, and lead the implementation of the improvements
Stay current on AI developments relevant to commercial operations, sales enablement, and proposal automation
Model AI-forward ways of working for the Deal Desk team and the broader Solutions function
Team Leadership & Operations: Manage and develop a team of Deal Desk Associates, setting clear priorities, quality standards, and turnaround expectations
Act as the escalation point for the team on complex, ambiguous, or high-stakes deals requiring senior judgment

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Senior Associate - Model Validation and AI Governance

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