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  • Data Engineering Consultant - Delhi, NCR - Ansi Consult And Services

    Ansi Consult And Services
    Ansi Consult And Services Delhi, NCR

    2 months ago

    Description

    We are Looking For Mortgage Credit Risk Modeling Expert

    We are seeking an experienced professional with strong expertise in mortgage credit risk modeling and structured finance analytics. The ideal candidate will have advanced quantitative, statistical, and programming skills, with hands-on experience in Python or R and big data environments.

    Its a remote job and

    Key Responsibilities

    Develop and implement mortgage credit risk models using statistical and machine learning techniques. Perform survival analysis, logistic regression, generalized linear models, panel data econometrics, and proportional hazard models.

    Analyze structured finance products and RMBS cash flows.

    Work with large-scale datasets in SQL, Spark, Snowflake, or other cloud-based platforms.

    Conduct stress testing, scenario analysis, and model validation in line with regulatory guidelines.

    Collaborate with stakeholders to provide actionable insights for risk management.

    Mentor junior analysts and contribute to best practices in quantitative modeling.

    Required Skills & Qualifications

    Masters or Ph.D. in Quantitative Finance, Statistics, Econometrics, Applied Mathematics, or related quantitative discipline.

    7+ years of direct experience in mortgage credit risk modeling or structured finance analytics.

    Advanced statistical modeling skills: survival analysis, proportional hazard models, logistic regression, generalized linear models, panel data econometrics.

    Strong programming expertise in Python (pandas, NumPy, scikit-learn, statsmodels) or R.

    Experience handling large-scale datasets in SQL, Spark, Snowflake, or cloud-based environments.

    Deep knowledge of mortgage credit risk, housing market fundamentals, and securitization structures.

    Good to Have

    Experience with Hierarchical models and Monte Carlo simulations.

    Knowledge of machine learning algorithms (e.g., gradient boosting, random forests, neural networks) applied to credit modeling.

    Familiarity with stress testing frameworks and regulatory model governance requirements.

    Background in RMBS cash flow modeling and structured product analytics.

    If you are an experienced Mortgage Credit Risk Modeling professional ready to take on challenging and rewarding projects, we want to connect with you

    Apply now or share your CV with us at

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Data engineering consultant