Senior Business and Functional Analyst – Transaction Monitoring (TM) Modelling

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Moorfields, County Antrim, Northern Ireland, GBR
In-Office
Senior level
Fintech • Financial Services
The Role
Lead transaction-monitoring model strategy, deployment, optimization, and performance reporting. Build SQL and Python data workflows, investigate data quality issues, define monitoring KPIs, translate AML requirements into rules and specifications, and coordinate remediation with AFC, technology, investigations, and governance stakeholders.
Summary Generated by Built In
Job Description:

Job Title: Senior Business and Functional Analyst – Transaction Monitoring (TM) Modelling

Location: London

Corporate Title: Vice President

Group Strategic Analytics (GSA) is part of Group Chief Operation Office (COO) which acts as the bridge between Deutsche Bank’s business and infrastructure functions to help deliver the efficiency, control, and transformation goals of the Bank.

You will work within the GSA Team on model strategy and deployment of TM. You will be familiar with the most recent data science methodologies and have a delivery-centric attitude, strong analytical skills, and a meticulous approach to breaking down complex matters into more understandable details.

The purpose of Payment Behavior Analysis and Modelling (PBAM) is to identify and investigate unusual customer transactions and behavior, to understand if that activity is considered suspicious from a financial crime perspective, and to report that activity to the government. You will be responsible for improving, implementing, and maintaining the models for TM.

What we’ll offer you

A healthy, engaged and well-supported workforce are better equipped to do their best work and, more importantly, enjoy their lives inside and outside the workplace. That’s why we are committed to providing an environment with your development and wellbeing at its centre.

You can expect:  

  • Hybrid Working - we understand that employee expectations and preferences are changing. We have implemented a model that enables eligible employees to work remotely for a part of their working time and reach a working pattern that works for them.
  • Competitive salary and non-contributory pension.
  • 30 days’ holiday plus bank holidays, with the option to purchase additional days.
  • Life Assurance and Private Healthcare for you and your family.
  • A range of flexible benefits including Retail Discounts, a Bike4Work scheme and Gym benefits.
  • The opportunity to support a wide ranging CSR programme + 2 days’ volunteering leave per year.

Your key responsibilities

  • Lead and contribute to designing and optimizing data workflows using SQL and Python for acquisition, validation, ETL, and reporting, as well as building scalable pipelines that feed dashboards and regulatory management information.
  • Develop and evolve reporting and analytics to monitor model performance and health, define Key Performance Indicators (KPI’s), and automate performance monitoring to ensure ongoing effectiveness.
  • Translate business understanding into TM rules, algorithms, and thresholds, partnering across Anti-Financial Crime (AFC), Technology, Investigations, and Model Review to modernize capabilities such as segmentation, alert risk scoring, and challenger models, while preparing crisp materials for senior and supervisory engagements.
  • Investigate data quality issues, conduct root-cause analysis, and track remediation, ensuring timely closure and transparent communication to governance forums.
  • Collaborate and partner with First Line of Defence (1LOD), Business Product Owners and AFC to translate business requirements into TM specifications, leveraging Red Flag Repositories and Risk Assessments to evidence coverage against typologies and regulatory expectations.
  • Review and resolve Anti-Money Laundering (AML) TM findings promptly, coordinating with AFC stakeholders to strengthen controls and modernize monitoring capabilities.

Your skills and experience

  • A Bachelor’s/Master’s degree in a relevant field or a comparable qualification.
  • Strong SQL and Python skills across end-to-end data workflows and in building dashboards and reports.
  • Solid understanding of data warehousing concepts and architectures for scalable storage and retrieval.
  • Familiar with statistical and predictive modelling techniques to support data- decisions.
  • Demonstrable ability to document relevant information in a clear, structured and comprehensive way
  • Excellent interpersonal and communication skills with the ability to explain complex requirements in an easily understandable and effective way

How we’ll support you

  • Flexible working to assist you balance your personal priorities.
  • A culture of continuous learning to aid progression.
  • A range of flexible benefits that you can tailor to suit your needs.
  • We value diversity and as an equal opportunities’ employer, we make reasonable adjustments for those with disabilities such as the provision of assistive equipment if required, e.g. screen readers, assistive hearing devices, adapted keyboards.

About us

Deutsche Bank is the leading German bank with strong European roots and a global network. Click here to see what we do.

Deutsche Bank in the UK is proud to be named in The Times Top 50 Employers for Gender Equality and has been awarded a Gold Award from Stonewall and named in their Top 100 Employers.

If you have a disability, health condition, or require any adjustments during the application process, we encourage you to contact our Adjustments Concierge on [email protected] to discuss.

We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.

Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.

We welcome applications from all people and promote a positive, fair and inclusive work environment.

Skills Required

  • Bachelor's or master's degree in a relevant field or comparable qualification
  • Strong SQL and Python skills across end-to-end data workflows, dashboards, and reports
  • Understanding of data warehousing concepts and scalable storage and retrieval architectures
  • Familiarity with statistical and predictive modelling techniques
  • Ability to document information clearly, structurally, and comprehensively
  • Excellent interpersonal and communication skills, including explaining complex requirements clearly

Deutsche Bank Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Deutsche Bank and has not been reviewed or approved by Deutsche Bank.

  • Healthcare Strength — Health coverage is positioned as comprehensive, spanning multiple medical plan options along with dental, vision, prescription coverage, life insurance, and disability protection.
  • Leave & Time Off Breadth — Time away is described as generous, including annual leave, sick leave, public holidays, wellbeing leave, volunteering leave in some regions, and expanded bereavement leave in certain locations.
  • Retirement Support — Retirement support is presented as a matched savings plan (401(k)), reinforcing longer-term financial security as part of the rewards package.

Deutsche Bank Insights

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