Financial Risk Credit Modeler

Posted 4 Days Ago
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Chennai, Tamil Nadu, IND
In-Office
Entry level
Information Technology • Marketing Tech • Analytics
The Role
Develop and deploy AI, generative AI, and LLM solutions that support credit risk modelers. Build and validate credit risk models using GCP, SAS, R, and Python; apply statistical and machine learning techniques; analyze results; document modeling processes; support model development; conduct ad hoc analytics; and implement secure, governed AI tools for analytical workflows.
Summary Generated by Built In

OneMagnify is an AI native, platform-enabled B2B digital agency operating at the intersection of data, technology, and creativity. We help complex organizations drive measurable business outcomes by building smarter customer experiences and delivering highly integrated solutions across digital, media, and technology. By combining deep industry expertise with advanced analytics and artificial intelligence, we enable our clients to make better decisions, move faster, and compete more effectively in dynamic markets.

The Global Data Insights and Analytics team is seeking a motivated and talented AI Engineer to develop and deploy advanced artificial intelligence solutions.

The Impact You’ll Have:

In this role, you will act as a force multiplier for quantitative analytics teams by designing, building, and deploying Generative AI tools and Large Language Model (LLM) applications that support analytical modelers in their day-to-day work.

From building AI o-pilots for code generation to creating automated model documentation tools, you will help develop the AI infrastructure that enables the risk team to operate more efficiently, scale innovation, and enhance overall performance.

What you’ll do:

  • Develop and validate credit risk models 

  • Enhance the usage of Artificial Intelligence / ML and transform into more efficient solutions. 

  • Using GCP, SAS, R, Python, for model building and model validation 

  • Continual enhancement of statistical techniques and their applications in solving business objectives 

  • Compile and analyze the results from modeling output and translate into actionable insights 

  • Prepare PowerPoint presentations and document preparation for the entire credit risk modeling process 

  • Collaborate, Support, Advise and Guide in development of the models 

  • Acquire and share deep knowledge of data utilized 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 own priorities and timelines to accomplish projects (accountability for project deliverables) 

  • User-Centric Collaboration: Work closely with analytical modelers to deeply understand their daily bottlenecks, data prep challenges, and coding workflows, translating those difficulties into effective AI solutions.

  • Security & Governance: Ensure all internal AI tools adhere to our client's strict data privacy, security, and compliance standards, implementing guardrails for internal data usage.

What you’ll need:

  • Masters in Finance, Financial Engineering, Analytics or Mathematics, Computer Science, Statistics, Industrial Engineering, Operations research, or related field.  

  • Good understanding of Probability of Default (PD), LGD and EAD modeling technique. 

  • Proven hand-on experience in Artificial Intelligence and extensive experience in GCP . 

  • Very good understanding of Predictive modeling techniques and their application. 

  • Knowledge of Credit life cycle 

  • Statistics and machine learning techniques. 

  • Conducted and applied statistical methodologies including linear regression, logistic regression, ANOVA/ANCOVA, CHAID/CART, cluster analysis 

  • Team player and collaboration skills. 

  • Programming skills in GCP, R, SAS, and PYTHON. 

  • Fluency with Excel, PowerPoint and Word 

  • Strong written and oral presentation / communication skills – must have the ability to convey complex information simply and clearly

  • Experience with developing and implementing cloud based analytical soluions in GCP or similar set up. 

Future-Ready Skills (Nice to Have):

  • 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 preferred.

Benefits

We offer a comprehensive benefits package including Medical Insurance, PF, Gratuity, paid holidays, and more.

We are an equal opportunity employer

We believe that Innovative ideas and solutions start with unique perspectives. That’s why we’re committed to providing every employee a workplace that’s free of discrimination and intolerance. We’re proud to be an equal opportunity employer and actively search for like-minded people to join our team.

Skills Required

  • Master's degree in Finance, Financial Engineering, Analytics, Mathematics, Computer Science, Statistics, Industrial Engineering, Operations Research, or a related field
  • Understanding of Probability of Default, Loss Given Default, and Exposure at Default modeling techniques
  • Hands-on experience with Artificial Intelligence
  • Extensive experience with GCP
  • Understanding of predictive modeling techniques and applications
  • Knowledge of the credit lifecycle
  • Knowledge of statistics and machine learning techniques
  • Experience applying 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
  • Strong written, oral, presentation, and communication skills
  • Experience developing and implementing cloud-based analytical solutions in GCP or a similar environment
  • Banking, financial services, or credit analytics experience
  • Familiarity with SAS for code translation or modernization tools
  • Experience in integrated marketing, digital agency, marketing services, or consulting environments

OneMagnify Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about OneMagnify and has not been reviewed or approved by OneMagnify.

  • Parental & Family Support Parental support is positioned as a defined benefit with six weeks of 100% paid parental leave plus employer-paid short-term disability. Parental leave sentiment is characterized as middling, but the policy itself is clearly specified as part of the package.
  • Wellbeing & Lifestyle Benefits Work flexibility is framed as a meaningful part of the total rewards experience through hybrid/remote options and flexible time off with paid sick leave. Added lifestyle-oriented perks such as volunteer PTO, pet insurance, legal assistance, ERGs, recognition programs, and partner discounts broaden the offering beyond core insurance.
  • Flexible Benefits A broad slate of optional add-ons and programs is described, including tuition reimbursement up to $5,250/year and other elective-style perks. This variety can help different employee needs be met even when base pay competitiveness is seen as only average.

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The Company
HQ: Detroit, MI
610 Employees
Year Founded: 1967

What We Do

We are technologists, strategists, and creative minds dedicated to moving brands forward with work that delivers results. Our messaging, communications and design are driven by human insights and fresh ideas because starting a conversation is one thing, but building a lasting relationship is another.

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