Quantitative Analytics & Model Development Consultant - Asset Liability Management / Commercial[...]
$65,000 per year
ApplyQuantitative Analytics & Model Development Consultant - Asset Liability Management / Commercial[...]
Posted yesterday
SENIORITY
Senior
SALARY
$65,000 per year
About the role
- Solid experience in coding with Python/R—specifically, PySpark or other big data applications
- Excellent written and communication skills, both in technical and nontechnical communications
- Problem‑solving skills and ad‑hoc analyses
- Ability to work under tight timelines
- Being a collaborative team player
- A self‑starter with an innate curiosity for how/why things work
- Solid experience in handling large datasets and deriving meaningful insights and driving actionable strategies for credit cards
- Direct hands‑on modeling development experience, using machine learning techniques and traditional statistical models
- Excellent understanding of the model development process from data assembly, univariate, bivariate analysis, model fitting, testing, validation, and documentation
- Ability to explain complex models in simple language for presentations and executive communication
- Experience in building segmentation strategies for credit card portfolio for risk modeling and marketing analytics
- Relevant experience in at least one area of banking/financial services
- Experience in consumer modeling, credit cards experience preferred
- Experience with machine learning models—deep learning, large language models, and graph database
- Model Development Lifecycle experience (development to validation to implementation to production and repeat)
- Performs complex quantitative analyses and models development to support decision‑making by running quantitative strategies
- Develops new model frameworks by supporting the line of business; refines, monitors, and validates existing models
- Conducts on‑going communication with model owners and developers during the review process
- Works with large data to create models
- Performs advanced qualitative and quantitative assessments on all aspects of models including theoretical aspects, model design and implementation as well as data quality and integrity
- Reviews reports and associated quantitative analysis; validates existing models and assesses model risks
- Evaluates identified model risks and reaches conclusions on strengths and limitations of the model
- Prepares and analyzes detailed documents for validation and regulatory compliance, using applicable templates
- Develop and maintain consumer and commercial models for retail and commercial businesses
- Analyze and build origination models for consumer cards and credit line assignment models
- Conduct customer behavior analysis and apply machine learning applications with explainability
- Collaborate with business partners, process owners, risk management and audit teams
- Present findings and model results to peers, senior executives, and regulators
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
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