Financial Risk Credit Modeler

OneMagnify; Chennai District; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Medical Insurance

Provident Fund (PF)

Gratuity

Paid holidays

Job summary

OneMagnify is seeking an AI Engineer in Chennai to develop and deploy advanced credit risk models and AI tools. You will work with quantitative analytics teams to build, validate, and implement models that support business objectives in risk assessment, using GCP, SAS, R, and Python.

The role emphasizes collaboration with data partners, rigorous model validation, and translating results into actionable insights for decision-makers across financial services.

Qualifications

• Masters degree in a quantitative field as listed.
• Strong understanding of credit risk concepts (PD, LGD, EAD) and predictive analytics.

Responsibilities

• Develop and validate credit risk models.
• Enhance the use of AI/ML to deliver efficient solutions.
• Use GCP, SAS, R, Python for model building and validation.
• Summarize modeling results and translate into actionable insights.
• Prepare presentations and documentation for the credit risk process.
• Collaborate with modelers and data partners to advance models.

Education

Master's in Finance, Financial Engineering, Analytics or Mathematics, Computer Science, Statistics, Industrial Engineering, Operations research, or related field.

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 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.