Job Description
Job Level - Vice President
Location - Mumbai
Role: Asset and Liability Management (ALM) Specialist- ALM Modelling
Treasury
Treasury at Deutsche Bank is responsible for sourcing, managing, and optimizing Deutsche Bank's financial resources and providing high-quality steering to the Bank on financial resource deployment.
Treasury's fiduciary mandate encompasses the Bank's funding pools, asset and liability management (ALM), liquidity reserves management, and supporting businesses in delivering their strategic targets at the global and local levels. Further, Treasury manages all financial resource optimization to implement the group's strategic objective and maximize long-term return on average tangible shareholders' equity (RoTE).
The current role is part of the Treasury Office in Mumbai. The position requires interactions with all key hubs i.e., London, New York, Frankfurt, and Singapore. This is an individual contributor role.
Function Description:
The Asset & Liability Management (ALM) team inside of Treasury is responsible for Structural risk management for the firm, including Interest Rate Risk in the Banking Book (IRRBB).
Role Description:
The candidate will be part of the ALM behavioral analysis group within the Asset & Liability Management (ALM) function. The team develops, parameterizes, and implements quantitative models to measure the risk across a large and diverse portfolio across the globe with some complex features [e.g. non-linear features]. The results are used for risk management decisions and regular internal and external reporting. The team recommends and executes hedging and optimization strategies. The team acts as an intermediary in treasury itself and between the business units [‘BU’] and other central functions like Market Risk Management. This gives you a unique view into many exciting, complex and important risk management topics.
The core deliverables for the roles:
As part of the ALM behavioral parameter calibration group, you will be responsible for:
· “Data integrity”: developing, owning and interpreting the historic time series data set from deposits and mortgages supporting our calibrations:
o Adapt the existing historical data to the new models [partnering with IT]
o Support our IT and model developer teams to migrate data into our strategic platform
o Ensure that the new data is harmonized with the historical one post migration and put in place an operating model across IT, model developers and the business units to ensure this process is maintained
o Enhance the data with other data used by business units [Client Analytics]
· “Data intelligence”: Develop statistical analytics of the data to ensure proper parametrization of the models:
o Some of the statistics will be owned and maintained by our model developers but some will be more exploratory for example when seeing market changes. The team needs to define the triggers to conduct new analysis. The team will assess whether this leads to either new model developments or simply a re-parametrization
o Sensitivity analysis to parameters: define sensible behavioral parameter stress scenarios to illustrate the uncertainty which needs to be considered for hedging/risk taking
o With our model developers, develop back testing capabilities
· “Business intelligence” through engagement with the BU [product and client specialist] and parameter governance:
o Have a through product/client and business strategy understanding to ensure the parametrization and the risk output reflect the expected behaviors
o Engage with the BUs to add SME input to the statistical output to develop parameter proposals
o Take the parameter proposals through the governance to get them approved
o Support the structuring teams in understanding these risks before the implementation of hedging strategies
Your skills and experiences
· University degree with a quantitative focus (Finance, Mathematics, Computer Science, Physics, etc). Certifications like CQF, FRM is a plus.
· Strong statistical or quantitative background preferably with experience in financial modelling.
· At least 7 years of relevant experience in ALM, Risk Management, Modelling or Treasury is a benefit.
· Good knowledge in data analysis and processing (either of QRM, SQL, SAS, R, Python, etc).
· Distinctive analytical and problem-solving abilities and a tech-savvy mind set.
· Ability to interpret/challenge the data and engage with business specialists to make sound risk management strategy recommendations.
· Ability to work in a team and at the same time keeping track of own responsibilities and to work independently.
· Strong ability to manage and prioritize numerous tasks simultaneously.
· Strong written, verbal communication and presentation skills
Location - Mumbai
Role: Asset and Liability Management (ALM) Specialist- ALM Modelling
Treasury
Treasury at Deutsche Bank is responsible for sourcing, managing, and optimizing Deutsche Bank's financial resources and providing high-quality steering to the Bank on financial resource deployment.
Treasury's fiduciary mandate encompasses the Bank's funding pools, asset and liability management (ALM), liquidity reserves management, and supporting businesses in delivering their strategic targets at the global and local levels. Further, Treasury manages all financial resource optimization to implement the group's strategic objective and maximize long-term return on average tangible shareholders' equity (RoTE).
The current role is part of the Treasury Office in Mumbai. The position requires interactions with all key hubs i.e., London, New York, Frankfurt, and Singapore. This is an individual contributor role.
Function Description:
The Asset & Liability Management (ALM) team inside of Treasury is responsible for Structural risk management for the firm, including Interest Rate Risk in the Banking Book (IRRBB).
Role Description:
The candidate will be part of the ALM behavioral analysis group within the Asset & Liability Management (ALM) function. The team develops, parameterizes, and implements quantitative models to measure the risk across a large and diverse portfolio across the globe with some complex features [e.g. non-linear features]. The results are used for risk management decisions and regular internal and external reporting. The team recommends and executes hedging and optimization strategies. The team acts as an intermediary in treasury itself and between the business units [‘BU’] and other central functions like Market Risk Management. This gives you a unique view into many exciting, complex and important risk management topics.
The core deliverables for the roles:
As part of the ALM behavioral parameter calibration group, you will be responsible for:
· “Data integrity”: developing, owning and interpreting the historic time series data set from deposits and mortgages supporting our calibrations:
o Adapt the existing historical data to the new models [partnering with IT]
o Support our IT and model developer teams to migrate data into our strategic platform
o Ensure that the new data is harmonized with the historical one post migration and put in place an operating model across IT, model developers and the business units to ensure this process is maintained
o Enhance the data with other data used by business units [Client Analytics]
· “Data intelligence”: Develop statistical analytics of the data to ensure proper parametrization of the models:
o Some of the statistics will be owned and maintained by our model developers but some will be more exploratory for example when seeing market changes. The team needs to define the triggers to conduct new analysis. The team will assess whether this leads to either new model developments or simply a re-parametrization
o Sensitivity analysis to parameters: define sensible behavioral parameter stress scenarios to illustrate the uncertainty which needs to be considered for hedging/risk taking
o With our model developers, develop back testing capabilities
· “Business intelligence” through engagement with the BU [product and client specialist] and parameter governance:
o Have a through product/client and business strategy understanding to ensure the parametrization and the risk output reflect the expected behaviors
o Engage with the BUs to add SME input to the statistical output to develop parameter proposals
o Take the parameter proposals through the governance to get them approved
o Support the structuring teams in understanding these risks before the implementation of hedging strategies
Your skills and experiences
· University degree with a quantitative focus (Finance, Mathematics, Computer Science, Physics, etc). Certifications like CQF, FRM is a plus.
· Strong statistical or quantitative background preferably with experience in financial modelling.
· At least 7 years of relevant experience in ALM, Risk Management, Modelling or Treasury is a benefit.
· Good knowledge in data analysis and processing (either of QRM, SQL, SAS, R, Python, etc).
· Distinctive analytical and problem-solving abilities and a tech-savvy mind set.
· Ability to interpret/challenge the data and engage with business specialists to make sound risk management strategy recommendations.
· Ability to work in a team and at the same time keeping track of own responsibilities and to work independently.
· Strong ability to manage and prioritize numerous tasks simultaneously.
· Strong written, verbal communication and presentation skills
💡 Quick Summary
Seeking a career-building opportunity? The ALM Modelling | VP | Diversity hiring |Female hiring only position is now open for candidates interested in the Bank Jobs sector. This role in Mumbai offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Bank Jobs is a plus.
