Verified Job
Accounting - Finance
Data Scientist Associate Assistant Vice President
Accounting - Finance
#312051
Remote / WFH
Job Description
Position Overview
Job Title- Data Scientist (Associate / Assistant Vice President)
Location- TBC
Role Description
You will be joining KYC (Know Your Client) Operations, supporting the Corporate and Investment Bank functions of Deutsche Bank.
In playing an integral role in the bank's first line of defence against financial crime, KYC Operations works closely with the Business and Anti-Financial Crime (AFC) in subjecting new and existing clients to reviews against standards reflecting externally defined requirements and internally established policy.
The Data/MI function within KYC Operations accesses rich data stores in providing global/regional management information to senior management, the Business, operations teams for planning, steering and review, as well as regulators and internal control functions, both ad hoc and on a regular basis.
As a Data Scientist, your experience and expertise will be key in building and refining optimal data sourcing processes, maintaining a data provisioning service to our portfolio of dashboards, delivering analytics solutions, and informing wider decision making
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
• Maintain and enhance portfolio of existing analytics/reporting services
• Migrating tactically developed processes to recognised analytics platforms
• Refine regionally disparate reporting processes in designing harmonised global service
• Deliver RTB reporting solutions within SLA thresholds
• Supporting demand for new analytical output
• Consider demand against existing portfolio of reporting solutions for optimally efficient integration
• Ensure requirements meet minimum standards for acceptance
• Agree prioritisation and delivery schedule in partnership with management and requestor/sponsor
• Task scoping and requirements refinement - alignment of requirements through consultation with manager and service requestor
• End to end development of prioritised reporting solutions - retaining ownership/responsibility for technical delivery of all assigned reporting/analytics tasks
• Use data modelling tools to develop easily repeatable processes, maximising automation opportunity for efficient regular processing (or simple process reconfiguration where needed)
• Determine/confirm most effective tooling for solution delivery (factors may include: time to market, existing strategic/tactical services,…)
• Develop solution in appropriate platform, based on proof-of-concept basis - hosting agile ’show and tell’ sessions to confirm component delivery / development is directionally suitable / opportunity for further refinement
• Establish/monitor robust controls to highlight any failure within e2e processing, resolving any failures identified
• Compile and maintain all necessary supporting documentation (sponsors/business cases, sourcing details/contacts, data model, other features)
Job Title- Data Scientist (Associate / Assistant Vice President)
Location- TBC
Role Description
You will be joining KYC (Know Your Client) Operations, supporting the Corporate and Investment Bank functions of Deutsche Bank.
In playing an integral role in the bank's first line of defence against financial crime, KYC Operations works closely with the Business and Anti-Financial Crime (AFC) in subjecting new and existing clients to reviews against standards reflecting externally defined requirements and internally established policy.
The Data/MI function within KYC Operations accesses rich data stores in providing global/regional management information to senior management, the Business, operations teams for planning, steering and review, as well as regulators and internal control functions, both ad hoc and on a regular basis.
As a Data Scientist, your experience and expertise will be key in building and refining optimal data sourcing processes, maintaining a data provisioning service to our portfolio of dashboards, delivering analytics solutions, and informing wider decision making
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
• Maintain and enhance portfolio of existing analytics/reporting services
• Migrating tactically developed processes to recognised analytics platforms
• Refine regionally disparate reporting processes in designing harmonised global service
• Deliver RTB reporting solutions within SLA thresholds
• Supporting demand for new analytical output
• Consider demand against existing portfolio of reporting solutions for optimally efficient integration
• Ensure requirements meet minimum standards for acceptance
• Agree prioritisation and delivery schedule in partnership with management and requestor/sponsor
• Task scoping and requirements refinement - alignment of requirements through consultation with manager and service requestor
• End to end development of prioritised reporting solutions - retaining ownership/responsibility for technical delivery of all assigned reporting/analytics tasks
• Use data modelling tools to develop easily repeatable processes, maximising automation opportunity for efficient regular processing (or simple process reconfiguration where needed)
• Determine/confirm most effective tooling for solution delivery (factors may include: time to market, existing strategic/tactical services,…)
• Develop solution in appropriate platform, based on proof-of-concept basis - hosting agile ’show and tell’ sessions to confirm component delivery / development is directionally suitable / opportunity for further refinement
• Establish/monitor robust controls to highlight any failure within e2e processing, resolving any failures identified
• Compile and maintain all necessary supporting documentation (sponsors/business cases, sourcing details/contacts, data model, other features)
