Verified Job
Accounting - Finance
Risk Manager Third Party Risk
Accounting - Finance
#298271
Remote / WFH
Job Description
Job Purpose
Third Party Risk Management is an important role within overall IT & Digital Risk Management function. The incumbent develops and reviews the processes related to On Boarding of Third Party service providers (Vendors / Partners) to identify, assess and mitigate risks associated with them. He / She works closely with IT and Business teams to evaluate before onboarding any new partner purely from Risk assessment and mitigation perspective.
The incumbent creates comprehensive checklist for partner onboarding in collaboration with other functions e.g. ISG, Internal Audit, Business, Operations etc. Reviews it periodically and maintains the rigor of following it by all stake holders.
Key Responsibility Areas : 6 – 8 Areas
Actionable (4-6)
· Research & Development
• Build a Credit Risk Research Center
• To research on Alternate Data for Early Warning Mechanism
• To track macro & micro economic data points for forecasting and dimension risk through “What If” simulations.
• Anticipate movements in External Risk (PESTEL)
· Leverage on AI/ML/ & Big Data to Sharpen and automate Risk Measurement & Reporting Models
· Assess risk arising out of interdependence among regions / sectors / markets, identify system wide dynamics and factor them in stress testing scenario as per regulatory guideline.
Educational Qualifications
Key Skills
· Preferably Bachelors or Masters in AI or Data Science
Strong grip on Python, R, SQL, Julia, MATLAB & Tensor-flow, Data wrangling, Machine Learning and Deep Learning, Cloud computing & AI. Strong background in mathematics an added advantage.
Experience Required
• Experience in Artificial Intelligence, exposure in Cloud Computing, Risk modelling, Predictive Modelling, Forecasting using orthodox and alternate data sources. Ability to integrate Deep Learning and Reinforcement Learning analyzing both Qualitative and quantitative data. Experience of creating large scale neural networks with multiple layers will be an added advantage.
Major Stakeholders (intra team and cross functional stakeholders, who would need to be interacted with for discharging duties)
· Retail Policy
· Retail & SME Business
· RAU
· Economists Team
· Fincon
· IT and Digital Banking
· Treasury
· HSL
· Marketing
Third Party Risk Management is an important role within overall IT & Digital Risk Management function. The incumbent develops and reviews the processes related to On Boarding of Third Party service providers (Vendors / Partners) to identify, assess and mitigate risks associated with them. He / She works closely with IT and Business teams to evaluate before onboarding any new partner purely from Risk assessment and mitigation perspective.
The incumbent creates comprehensive checklist for partner onboarding in collaboration with other functions e.g. ISG, Internal Audit, Business, Operations etc. Reviews it periodically and maintains the rigor of following it by all stake holders.
Key Responsibility Areas : 6 – 8 Areas
Actionable (4-6)
· Research & Development
• Build a Credit Risk Research Center
• To research on Alternate Data for Early Warning Mechanism
• To track macro & micro economic data points for forecasting and dimension risk through “What If” simulations.
• Anticipate movements in External Risk (PESTEL)
· Leverage on AI/ML/ & Big Data to Sharpen and automate Risk Measurement & Reporting Models
· Assess risk arising out of interdependence among regions / sectors / markets, identify system wide dynamics and factor them in stress testing scenario as per regulatory guideline.
Educational Qualifications
Key Skills
· Preferably Bachelors or Masters in AI or Data Science
Strong grip on Python, R, SQL, Julia, MATLAB & Tensor-flow, Data wrangling, Machine Learning and Deep Learning, Cloud computing & AI. Strong background in mathematics an added advantage.
Experience Required
• Experience in Artificial Intelligence, exposure in Cloud Computing, Risk modelling, Predictive Modelling, Forecasting using orthodox and alternate data sources. Ability to integrate Deep Learning and Reinforcement Learning analyzing both Qualitative and quantitative data. Experience of creating large scale neural networks with multiple layers will be an added advantage.
Major Stakeholders (intra team and cross functional stakeholders, who would need to be interacted with for discharging duties)
· Retail Policy
· Retail & SME Business
· RAU
· Economists Team
· Fincon
· IT and Digital Banking
· Treasury
· HSL
· Marketing
