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

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:

124000.00 - 177000.00 USD / 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 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 – Data Analytics

We are looking for a Senior Associate – Data Analytics with a strong foundation ...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

3–5 years of experience in Finance analytics, data analytics, automation, transformation analytics, applied AI, or related fields
Strong understanding of finance concepts such as financial planning, forecasting, variance analysis, business case modelling, cost analysis, or workforce/operational analytics
Strong hands-on programming skills in Python, including data processing, automation scripts, and analytical workflows
Working knowledge of SQL and structured data querying
Experience with Power BI or Tableau for dashboarding, reporting, and insight visualization
Experience in handling structured financial, workforce, operational, or transformation datasets
Exposure to GenAI tools, prompt engineering, LLM-powered workflows, or automation solutions
Strong analytical thinking, attention to detail, problem-solving ability, and stakeholder communication skills
Ability to translate complex business questions into structured analytical approaches and practical outputs

Job Responsibility

Support financial and workforce analytics across transformation programs, including baselining, business case analysis, value tracking, scenario modelling, and performance reporting
Analyze financial, workforce, operational, and transformation data to identify trends, risks, opportunities, and value drivers
Build decision-ready insights for senior stakeholders by combining business context, financial logic, and analytical rigor
Support recurring and ad hoc Finance analytics needs, including variance analysis, value confirmation, workforce planning, reconciliations and transformation performance measurement
Contribute to Finance and Transformation Analytics use cases involving Hyperion, Workday, Anaplan, Power BI, Excel, and other structured financial or operational datasets, where applicable
Design and build automation workflows using Python for data extraction, transformation, validation, reconciliation, and reporting
Develop AI-enabled workflows that improve productivity, insight generation, financial commentary, and scenario analysis
Support LLM-powered applications, reusable GenAI workflows, and AI-enabled analytical tools using appropriate enterprise-approved frameworks, where applicable
Develop structured prompt templates for finance analysis, variance commentary, transformation analytics, and executive summaries
Create validation layers, controls, and review mechanisms to improve reliability, accuracy, and business readiness of AI-generated outputs

What we offer

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

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

Senior Software Engineer

About this role: Wells Fargo is seeking a Senior Software engineer.We are lookin...

Location

India , Hyderabad

Salary:

Not provided

Wells Fargo

Expiration Date

Until further notice

Requirements

4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
4–8+ years of software engineering experience
3–5+ years of hands-on ServiceNow ITSM development
Proven experience with AI/ML-enabled automation or analytics solutions
Strong expertise in ServiceNow ITSM modules
JavaScript (server-side & client-side)
ServiceNow scripting APIs
Experience with Predictive Intelligence / Virtual Agent
Flow Designer, IntegrationHub

Job Responsibility

Lead moderately complex initiatives and deliverables within technical domain environments
Contribute to large scale planning of strategies
Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
Lead projects and act as an escalation point, provide guidance and direction to less experienced staff
Design, develop, and implement solutions across ServiceNow ITSM modules (Incident, Problem, Change, Request Management)
Customize applications using Business Rules, Client Scripts, UI Policies & Actions, Script Includes, Flow Designer / Workflow Editor
Build and maintain Service Catalog items, workflows, and automations

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

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Senior Associate - Model Validation and AI Governance

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Senior Associate - Model Validation and AI Governance

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