Deutsche Bank Group
Financial Services
RiskAnalyst-AVP
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Risk Analyst - AVP at Deutsche Bank Group. Skills: Credit Risk Control Function, Credit Loss Provision (CLP) reporting, forecasting and monitoring, ownership of key credit risk models, Pillar 1 and Pillar 2 models, model performance analysis, data- and model-related validation findings remediation, credit risk model topics reporting. identify automation opportunities across existing data platforms, processes and reporting streams. develop data-driven automation initiatives to improve operational”
What You'll Achieve.
improve operational performance and scalability
Industry & Context.
structured and automated analysis of underlying data to assess model performance and translate into clear, actionable recommendations
What They're Looking For.
Must Have
University degree (Master’s or PhD) in a quantitative discipline (e. g. Mathematical Finance/ Statistics/ Econometrics), advanced Python skills required
Nice to Have
Preferred background in a Risk function within the financial services industry, good understanding of Credit Risk Management processes, models and credit risk parameters (PD, LGD, CCF)
What You'll Do.
identify automation opportunities across existing data platforms
processes and reporting streams
develop data-driven automation initiatives to improve operational performance and scalability
Perform structured and automated analysis of underlying data to assess model performance and translate into clear
actionable recommendations
Support remediation of data- and model-related validation findings
Produce regular and ad-hoc quality assured reporting on credit risk model topics
How You'll Work.
Team & Collaboration
Engage with various model risk stakeholders globally, such as Risk Methodology and Model Risk Management functions; communicate with a diverse range of stakeholders, including Senior Management and team members across different locations and time zones
Communication Scope
Good inter-personal and communication skills; ability to effectively communicate with a diverse range of stakeholders; Excellent written and verbal skills in English
Full Job Description
## _**Job Description:**_ **Job Title: Risk Analyst - AVP** **Location: Mumbai, India** **Role Description** * As part of the Chief Risk Office (CRO), the Enterprise & Treasury Risk Management (ETRM) function provides a cross-risk view of the Bank’s risk profile across risk types, businesses and geographies. The function is also responsible for key risk management capabilities across risk types, such as risk appetite, risk identification and group wide stress testing, and is the risk control function for credit risk. * The Credit Risk Control Function is a recently established team within ETRM responsible for independent portfolio monitoring of the overall credit risk profile across the bank and its divisions, Credit Loss Provision (CLP) reporting, forecasting and monitoring, as well as ownership of key credit risk models. The Credit Capital & Model Management team owns and governs Pillar 1 and Pillar 2 models ensuring their robust, compliant and efficient use. The team works closely with a wide range of stakeholders across the Credit Risk and Model Risk organizations, Risk methodology and Finance, offering a broad exposure to key risk and capital topics. **What we’ll offer you** As part of our flexible scheme, here are just some of the benefits that you’ll enjoy * Best in class leave policy * Gender neutral parental leaves * 100% reimbursement under childcare assistance benefit (gender neutral) * Sponsorship for Industry relevant certifications and education * Employee Assistance Program for you and your family members * Comprehensive Hospitalization Insurance for you and your dependents * Accident and Term life Insurance * Complementary Health screening for 35 yrs. and above **Your key responsibilities** * For the management of key credit risk models, identify automation opportunities across existing data platforms, processes and reporting streams and develop data-driven automation initiatives to improve operational performance and scalability. * Perform structure
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