Analytics Model Development Lead - Modelling & Analytics

Hybrid in New York, NY, US • Posted 10 hours ago • Updated 10 hours ago
Full Time
No Travel Required
Hybrid
$120,000 - $140,000/yr
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Fitment

Dice Job Match Score™

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Job Details

Skills

  • Mathematics
  • Data Visualization
  • Data Science
  • Modeling
  • Predictive Modelling
  • Statistical Models
  • Microsoft Power BI
  • Analytics
  • Machine Learning (ML)

Summary

We are seeking an Analytics Model Development lead to drive the end-to-end development, execution, and monitoring of predictive models—spanning across areas such as acquisition, response, churn, underwriting—while managing existing client relationships and identifying new business opportunities.
This role requires deep statistical expertise, advanced data science capabilities, and strong business acumen to translate data-driven insights into effective models that balance growth, profitability, and risk mitigation. Additionally, it requires strong consultative and relationship-building skills with the ability to influence senior stakeholders and bridge the gap between technical data science and business strategy.

Qualifications
Education: Bachelor’s degree in Statistics, Mathematics, Data Science,
Economics, Operations Research, Engineering, or a highly quantitative field.
Experience: 7+ years of experience in predictive modeling, model development, or data science within management consulting, banking, or financial services.
Domain Expertise: Strong understanding of retail banking and consumer lending products (credit cards, personal loans, mortgages, auto loans) and their lifecycle dynamics.
Technical Proficiency:
Advanced proficiency in Python, R, SQL, or SAS for data manipulation
and statistical modeling.
Strong hands-on experience with regression, classification, clustering, time-series forecasting, and machine learning frameworks.
Familiarity with data visualization tools like Tableau or Power BI is a plus.

Communication & Collaboration: Excellent communication and presentation
skills, with a proven ability to translate complex data science concepts into
actionable business strategies for executive stakeholders.
Regulatory Knowledge: Solid understanding of model risk management
frameworks (e.g., SR 11-7), compliance standards, and data governance in a
regulated banking environment.
Client: Growth Mindset: Proven experience managing client relationships and
contributing to business development efforts, proposal writing, or solution
architecture.
 
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91007012
  • Position Id: 9031848
  • Posted 10 hours ago

Company Info

About Promantis Inc

Since 2007, Promantis has been offering competitive services in consulting, technology and outsourcing. With scalability and flexibility to support long-term growth, we leverage this people advantage coupled with technology to develop industry-specific solutions in the domains of Health, Insurance, Telecommunications, Service, Pharmacy, Retail, Banking and Government.



Promantis offers services ranging from Contract Consulting, Staff Augmentation Services, Enterprise Application Solutions, Software Application Solutions, Systems and Network Engineering to Service and Support. Promantis has an expert staff of consultants waiting to assist you. This includes Project Managers, Business System Analysts, Functional Consultants, and Technical Consultants with skills ranging from legacy systems to the latest technologies.



As a recognized leader providing customized software services and solutions to companies around the world, our ability to deliver is a granted that makes companies put their trust in us to answer their day-to-day business challenges and put them on a path for greater success.


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SN

Saran Nivas

Recruiter @ Promantis Inc
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