Financial Risk Credit Modeler

About OneMagnify:

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 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 co-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.

- 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 solutions 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.