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OneMagnify

AI-driven marketing optimization and personalization

Financial Risk Credit Modeler

Quantitative RiskConfirmed live in the last 24 hours
Full-timeChennai, Tamil Nadu, IndiaNo salary listedIn-person

About the Job

Requirements

  • A master's degree in Finance, Financial Engineering, Analytics, Mathematics, Computer Science, Statistics, Industrial Engineering, Operations Research, or a related field.
  • Good understanding of Probability of Default, LGD, and EAD modeling techniques.
  • Hands-on experience in artificial intelligence and extensive experience in GCP.
  • Very good understanding of predictive modeling techniques and their application.
  • Knowledge of the credit life cycle.
  • Knowledge of statistics and machine learning techniques.
  • Experience conducting and applying statistical methodologies, including linear regression, logistic regression, ANOVA/ANCOVA, CHAID/CART, and cluster analysis.
  • Programming skills in GCP, R, SAS, and Python.
  • Fluency with Excel, PowerPoint, and Word.
  • Experience developing and implementing cloud-based analytical solutions in GCP or a similar setup.

Responsibilities

  • Develop and validate credit risk models.
  • Enhance the use of artificial intelligence and machine learning by transforming processes into more efficient solutions.
  • Use GCP, SAS, R, and Python for model building and model validation.
  • Continually enhance statistical techniques and apply them to business objectives.
  • Compile and analyze modeling output and translate results into actionable insights.
  • Prepare PowerPoint presentations and documentation for the credit risk modeling process.
  • Collaborate, support, advise, and guide model development.
  • Acquire and share deep knowledge of data used by the team and its business partners.
  • Participate in global conference calls and meetings as needed and manage multiple customer interfaces.
  • Execute analytics special studies and ad hoc analyses.
  • Evaluate new tools and technologies to improve analytical processes.
  • Set priorities and timelines to accomplish projects and remain accountable for project deliverables.
  • Work closely with analytical modelers to understand daily bottlenecks, data-preparation challenges, and coding workflows, translating them into effective AI solutions.
  • Ensure internal AI tools adhere to client data privacy, security, and compliance standards, implementing guardrails for internal data usage.

Desired Qualifications

  • Previous exposure to the Banking, Financial Services, or Credit Analytics industries.
  • Familiarity with SAS to aid in building code-translation or modernization tools for modelers.
  • Experience in integrated marketing, digital agency, marketing services, or consulting environments.

About the Company

OneMagnify

AI-driven marketing optimization and personalization

OneMagnify helps leading brands optimize customer experiences through digital transformation, using data-driven, AI-enhanced marketing to personalize interactions at scale. It analyzes data and uses AI-powered insights to tailor content and activate campaigns across digital channels. It stands out by pairing 50 years of brand-building experience with deep industry expertise and a large, skilled team to deliver end-to-end digital activation on top platforms. The goal is to magnify brands by improving online experiences and delivering measurable, data-backed business results for clients.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Charlotte, NC
Founded
1967

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