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Senior Risk Officer

2.00 to 7.00 Years   Udaipur,China, Bhutan, Barbados, Qatar, Agra, South Africa, Varanasi, Rampur, Sri Lanka, Nellore, Un   30 Aug, 2024
Job LocationUdaipur,China, Bhutan, Barbados, Qatar, Agra, South Africa, Varanasi, Rampur, Sri Lanka, Nellore, Un
EducationNot Mentioned
SalaryRs 12 Lakh/Yr
IndustryBanking
Functional AreaInvestment Banking / M&ARisk / Underwriting
EmploymentTypeFull-time

Job Description

    Your key responsibilities
    • Conducting model validations on the DWS models, both in-house and vendor models, based on regulatory guidance, internal policy and procedures and best industry practice and communicate findings and recommendations to model owners and prepare the model validation reports
    • Working closely with Investment teams on topics including model assumptions and limitations to ensure models remain fit for purpose
    • Participate in independent model reviews on complex topics in accordance with business needs and regulatory requirements
    • Review ongoing model monitoring reports, identify potential model risk and document the findings to key stakeholders while evaluating the corrective actions
    • Assist in building benchmark models used across the model validation team, design backtesting or other methodologies to test the conceptual soundness of model assumptions.
    Your skills and experience
    • Previous quantitative risk management, model validation or model development experience from across the Investments, Consulting or Banking industry with sound experience of validating or developing valuation or risk models across asset classes such as FX, Rates and Equities
    • Strong quantitative skills utilising at least one of Python or C
    • Good understanding of valuation methods, capital markets, portfolio theory and risk management
    • Excellent verbal and written communications skills -- previous experience of writing either technical documentation related to model validation or development or independent peer-reviewed research articles
    • Educated to post-graduate degree level in a quantitative field such physics, mathematics, statistics, economics or engineering, or with relevant industry experience / professional qualification

Keyskills :
model developmentquantitative modelsquantitative investment strategiesquantitative risk analysistechnical documentationmodel validationdata structurescompiler construction

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