Assistant Vice President

Assistant Vice President Data Jobs

2 jobs found

Today

Data Analyst, Assistant Vice President

Citi Tampa, FL

Tampa, FL

Today

$87k - $131k/yr Full time Analytics Assistant Vice President Business Analytics

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Job Description

As an Assistant Vice President in a business and data senior analyst capacity, you will support credit risk exposure measurement for derivatives and securities. The role emphasizes accurate exposure calculations, data quality improvements, and proactive controls to detect and resolve potential issues.

Key Responsibilities

Proactively identify and address potential issues within credit risk exposure calculations, with a particular focus on Factor Sensitivities.
Conduct comprehensive variance analysis across key risk products, portfolios, and business data.
Build and maintain reasonability checks for important risk and finance attributes and calculations.
Partner with stakeholders to determine the data elements required for effective risk processes.
Develop and implement tools, systems, and procedures that enable early detection and resolution of potential issues.
Continuously seek opportunities for process simplification, automation, and proactive issue mitigation.
Work with a high degree of independence while managing multiple tasks and shifting priorities.
Apply a risk approach that accounts for business decisions, including consideration for the firm’s reputation and protection of Citigroup, its clients, and assets through compliance with applicable laws, rules, and regulations, adherence to policy, sound ethical judgment in personal conduct and business practices, and escalation, management, and transparent reporting of control issues.

Required Qualifications

5+ years of banking experience with a strong foundation in Credit Risk measurements and Exposure calculations.
Essential understanding of Over-The-Counter Traded Derivatives (OTC), Securities Finance Transactions (SFT), Exchange Traded Derivatives (ETDs), and Fixed Income products.
Strong data analysis skills with exceptional attention to detail.
Competency in Tableau, SQL, and Python is highly desirable.
Excellent people skills and a client-focused approach for effective interaction with business partners, technology teams, and management.
Proven ability to manage multiple tasks with competing demands and timelines, along with a strong willingness to learn and adapt to new challenges.
Bachelor’s/University degree or equivalent experience.

Technologies

Tableau
SQL
Python

Compensation and Location

Location: Tampa, FL (onsite)
Salary range: USD 87,280 - 130,920 per year

Benefits

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
Discretionary and formulaic incentive and retention awards (for eligible employees)

Role Details

Job family group: Decision Management
Job family: Business Analysis
Time type: Full time
Anticipated posting close date: Oct 23, 2026

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7d ago

Assistant Vice President, Health Analytics Data Scientist

Aon Corporation Atlanta, GA

Atlanta, GA

7d ago

$160k - $190k/yr Full time Artificial Intelligence Assistant Vice President Claims Analytics

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Job Description

Hands-on Assistant Vice President role supporting US Health Analytics through causal inference, predictive modeling, and end-to-end model governance.

Responsibilities

Develop and deliver causal inference and predictive modeling workstreams for the US Health Analytics practice, maintaining methodological rigor while building, reviewing, validating models and code within project timelines
Partner with Aon Business Solutions / Technology (ABS), cloud architects, and offshore engineering and data science teams to align on data pipelines, model architecture, and deployment standards
Coordinate delivery across locations and time zones, and move models from development into scalable, supported production
Design, build, and tune tabular analyses and predictive models using gradient-boosted methods, statistical approaches, and emerging AI techniques for use cases such as:
- Cost and utilization forecasting
- High-cost claimant prediction
- Risk stratification
- Program engagement propensity
Work with large eligibility, medical claims, and pharmacy claims datasets from multiple sources
Design and execute medical economics and causal inference studies estimating program, treatment, vendor, and point-solution impact on financial, utilization, and clinical outcomes
Apply matched cohort target trial emulation, including explicit eligibility, time zero, and follow-up definitions with propensity score matching or weighting
Use difference-in-differences and event-study designs, including parallel-trends and sensitivity testing, plus risk adjustment
Document methods, assumptions, data definitions, and results thoroughly (methodology write-ups, technical appendices, model cards, reproducible analysis records)
Present findings, uncertainty, and limitations clearly to clients, carriers, consultants, and senior leaders via polished reports and presentations
Ensure MLOps and model governance end-to-end: experiment tracking, model registries, reproducible training pipelines, automated testing, CI/CD, drift and performance monitoring, and documentation, validation, and approval workflows aligned with Aon risk, privacy, and compliance standards
Serve as a senior technical, code, and methodology reviewer; set standards for model validation, explainability, bias and fairness review, and quality control
Collaborate with senior leaders across Aon health actuarial, consulting, clinical, innovation, and specialty practice areas; stay current on emerging vendors and startups in healthcare navigation, digital health, and care delivery
Mentor and coach data scientists; lead multiple projects with clear priorities, timelines, and milestones

Requirements

Minimum 7 years of total experience, including health insurance, with a track record of delivering value to clients and colleagues
Strong foundation in applied statistics or medical economics, including model training and validation, statistical testing, regression and generalized linear models, and experimental and quasi-experimental design
Deep hands-on experience building, tuning, and interpreting tabular predictive models, including feature engineering, cross-validation, hyperparameter optimization, calibration, class imbalance, and explainability methods
Hands-on experience applying causal inference to observational health data / medical economics, including:
- Matched cohort target trial emulation
- Propensity score methods
- Difference-in-differences (including staggered-adoption and event-study approaches)
- Sensitivity analysis
- Risk adjustment
Detailed understanding of US health data: eligibility, medical and pharmacy claims, and coding standards including ICD-10-CM, ICD-10-PCS, CPT, and DRG
Experience with MLOps and model governance (for example, MLflow or similar), including model registries, automated training and scoring pipelines, version control, drift and performance monitoring, and model risk documentation and review
Experience partnering with enterprise technology and architecture teams and working with offshore or distributed engineering teams to deploy and support models in production
Expert Python and/or R and strong SQL; experience with Databricks, Spark, Azure, Docker, and CI/CD is a plus
High-performing individual contributor who can mentor junior data scientists and work independently across multiple projects
Excellent written and verbal communication, including clear documentation and presentations of statistical results, uncertainty, and limitations for both technical and non-technical audiences