Financial Credit Risk Modeler

OneMagnify; Chennai; On-site; INR 900,000 - 1,600,000; Full time

Benefits offered by this job

Medical Insurance

PF

Gratuity

Paid holidays

Job summary

OneMagnify is seeking an AI Engineer to design, build, and deploy Generative AI tools and LLM applications that support analytical modelers in credit risk work.

The role involves developing credit risk models using GCP, SAS, R, and Python, advancing AI/ML techniques, translating results into insights, and presenting findings to stakeholders with governance and data privacy in mind.

Qualifications

• Masters in Finance, Financial Engineering, Analytics or Mathematics, CS, Statistics, OR related field.
• Good understanding of PD, LGD and EAD modeling techniques.
• Proven hands-on experience in AI and extensive experience in GCP.
• Strong predictive modeling techniques and their application.
• Experience with developing cloud-based analytical solutions in GCP or similar setup.

Responsibilities

• Develop and validate credit risk models.
• Enhance AI/ML usage for more efficient solutions.
• Use GCP, SAS, R, Python for model building and validation.
• Advance statistical techniques for business objectives.
• Translate modeling outputs into actionable insights; prepare presentations.

Skills

Python programming

R programming

SAS

GCP platform

Predictive modeling

Communication skills

Education

Masters in Finance/Analytics/CS

Tools

GCP

SAS

R

Python

Job description

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 andvalidatecredit risk models
• Enhance the usage ofArtificial Intelligence/ MLandtransform intomore efficient solutions.
• UsingGCP,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
• Acquireand share deep knowledge of datautilizedby 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 toaccomplishprojects (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:

• Mastersin Finance, Financial Engineering, Analytics or Mathematics, Computer Science, Statistics, Industrial Engineering, Operations research, or relatedfield.
• Good understanding ofProbabilityof Default (PD),LGDand EAD modelingtechnique.
• Proven hand-on experience in Artificial Intelligenceand extensive experience inGCP.
• Very goodunderstanding 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 inGCP,R, SAS, and PYTHON.
• Fluency with Excel,PowerPointand Word
• Strong written and oral presentation / communication skills – must have the ability to convey complex information simply and clearly
• Experience with developing and implementingcloud basedanalytical 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.