AML Quant Specialist

10 years

0 Lacs

Posted:16 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Job Title:

Location:

Job Type:

Key Responsibilities:

· Model Lifecycle Responsibility: Experience with either model development or model validation activities, ensuring robust model design, accurate performance assessment, and compliance with risk management frameworks and regulatory standards.

Model Development:

    • Model Validation:

      The specialist will be responsible for the independent quantitative review and rigorous challenge of all models across domains. This involves verifying conceptual soundness, assessing model assumptions, and evaluating implementation accuracy. Key activities include statistical performance testing, scenario analysis, sensitivity testing, and back-testing to ensure models meet defined risk coverage objectives and adhere to internal model risk management frameworks and regulatory expectations, while maintaining computational and operational viability.

Ongoing Monitoring Review:

· Regulatory Compliance and Reporting: Ensure all model validation/ development activities meet regulatory standards (e.g., Basel III/IV, FRTB) and internal governance policies. Prepare clear, concise development/ validation reports and presentations for risk committees, auditors, and regulators, articulating model limitations, assumptions, and validation outcomes.

Required Qualifications & Skills:

  • Educational Background:

    Bachelor's/Master’s/PhD in Computer Science, Data Science, Mathematics, Statistics, Economics, Quantitative finance, or related fields.
  • Experience:

    2–10 years in model validation/ development, Machine Learning models
  • Strong analytical, problem-solving, and communication skills.
  • Mathematical and Statistical experience

    : Probability theory, Linear algebra, optimization, Time series analysis, Statistical modelling, and inference
  • Strong programming skills in

    Python, R, and SAS.

  • Proficiency in

    data visualization tools (Power BI, Tableau, Matplotlib, Seaborn).

  • Advanced excel skills, excellent written and verbal communications, ability to manage multiple timelines and deliverables, knowledge of Model Risk Development Lifecycle (preferred)

    .

  • Vendor tools –

    Moody’s products, Bloomberg, Murex, NICE Actimize (Good to have).

Good to have qualifications:

  • Knowledge of

    Financial Risk Management

    is an added advantage.
  • CQF/ FRM/ Actuary

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