Barclays
CRMS - TM Optimisation and Strategy
Data Science Transaction Manager
Contract Length-6 Months
Location- London E145HP/ Hybrid
Job Role Summery
The role will focus predominantly on the development and optimisation of Surveillance & TM solutions for
in-scope Barclays UK (BUK) and Barclays International (BI) businesses / locations, including;
Working with Global Surveillance colleagues to support the development, implementation and optimisation
of automated Surveillance & TM automated solutions and capabilities
Supporting the development of the Financial Crime Data Lake (FIDA) and the Group Data Architecture
(Optimus) to ensure that it fulfils the requirements of the Global Surveillance team and the wider Financial
Crime function
Collaborating with Global Surveillance leads, key Business, Operational, Technology and Financial Crime
stakeholders to understand key priorities for the bank and identify enhancement opportunities
Leading on innovation within in the field of Surveillance & TM data analytics
Key Accountabilities
The role holder will:
Work with colleagues to support the development, implementation and optimisation of Global Surveillance solutions and capabilities, including;
Supporting regular review & optimisation of Surveillance & TM solutions (vendor or bespoke), maximising effectiveness and efficiency, and ensuring a risk-based approach is taken
Supporting the development and implementation of strategic investment projects, providing clear requirements, acting as the ‘voice of the customer’ and taking responsibility for ensuring that the end product is of a high standard
Developing and operationalising bespoke monitoring and oversight solutions within our Financial Crime Data Lake (FIDA), including rules, models, typologies, profiles and dashboards
Ensuring Surveillance & TM solutions are rigorously built and embedded into routine processes, enabling proactive identification of money laundering and financial crime risks.
Building and maintaining ongoing feedback loop from key business areas/processes and ensure that requirements are incorporated into developing and optimising solutions
Develop new / innovative methods to visualise effectiveness of Surveillance & TM solutions
Support the development of the Financial Crime Data Lake (FIDA) to ensure that it fulfils the requirements of the transaction monitoring team and the wider Financial Crime function, including;
Ensuring that all relevant data has been correctly sourced, enriched, integrated and architected so that it can be leveraged for Surveillance & TM related development and analytics
Supporting the identification and onboarding of new and relevant datasets based on the requirements of the Financial Crime function.
Providing SME knowledge on FIDA data relevant to Surveillance & TM requirements
Leveraging the enriched data available in FIDA, in conjunction with the data science sandbox, to develop Surveillance & TM solutions.
Collaborate with Global Surveillance leads and key Business, Operational, Technology and Financial Crime stakeholders to understand key priorities for the bank and identify opportunities to enhance existing data/infrastructure/capabilities/processes, to maximise effectiveness and efficiency.
Lead on innovation within in the field of Surveillance & TM, and data analytics, taking inspiration from pioneering teams within Barclays, leading peer institutions, or from different fields altogether, to enhance Surveillance & TM capabilities within Barclays.
Stakeholder Management and Leadership
Provide ongoing specialist guidance and support to business and technical stakeholders – acting as an interpreter between business and technical areas, explaining business requirements and translating technical subject matter where appropriate.
Work closely with consumers of Financial Crime/Surveillance & TM data to ensure capabilities and limitations are understood correctly that data is used efficiently and effectively to deliver maximum value.
Maintain strong relationships with the broader Financial Crime team and agenda to inform/leverage future capabilities and drive requirements with the team.
Promote an environment of high quality delivery and continuous improvement – with particular focus on standardising, automating and optimising processes,
Follow appropriate governance and oversight requirements, maintaining a correct audit trail where required.
Decision-making and Problem Solving
Challenge existing processes and capabilities within the team, initiate and encourage improved ways of working to realise efficiencies and more reliable outputs.
Continuously identify relevant data sources to meet Financial Crime priorities based on the limitations of existing dataset, market leading developments and direct stakeholder feedback.
Work with teams in multiple business areas and jurisdictions.
Risk and Control Objective [This section is mandatory for all role profiles and must not be deleted]
Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and internal Barclays Policies and Policy Standards.
Essential Skills/Basic Qualifications:
Essential Business Skills:
Manage competing priorities and demands to achieve stretch goals and deliver results
Strong organizational skills - to execute against plans/deadlines
Ability to solve problems logically and/or creatively, demonstrating professional judgment, quality control and adherence to high standards
Creative and forward thinking, striving to innovate, identify, improve and solutions and capabilities
Confidence to proactively contribute and make business critical decisions
Excellent verbal and written communication skills with a strong record of building relationships and engaging across a wide range of technical and non-technical stakeholders, both within and across functions.
Essential Technical Skills:
An appreciation of Financial Crime, Market Surveillance, AML and transaction monitoring/detection and the systems/processes, including an understanding of AML and terrorist financing trends and typologies
In-depth understanding of Financial Institution data (e.g. Customer/Account, Transactional, Payment), systems and flows.
Experience in development of data visualisations/dashboards; preferably Tableau or similar (such as Qlikview, Qliksense, PowerBI)
Exposure to common Transaction Monitroing systems (Actimize SAM, Oracle Mantas, Fortent etc…)
Several years’ experience in utilising analytical/data science tools for data exploration, analysis and visualisation – ideally within Financial Services / Financial Crime or a similar field.
Excellent MS Office skills, including Excel, PowerPoint, Word, Visio
Desirable skills/Preferred Qualifications:
Familiarity of Big Data / Data Lake technologies such as Apache Hadoop Spark, Hive, Impala etc…
Hands on experience of common Data Science tools, libraries and languages (SQL , Python, R, Scala, Spark)
Degree in Computer Science, Data Science, Maths, Statistics, Physics or similar appropriate Degree
Knowledge of the UK and Global Financial Crime regulatory framework
Purpose and Values
We deploy finance responsibly to support people and businesses, acting with empathy and integrity, championing innovation and sustainability, for the common good and the long term.
Our values underpin everything we do: Respect, Integrity, Service, Excellence and Stewardship.
Respect
We harness the power of diversity and inclusion in our business, trust those we work with, and value everyone's contribution.
We operate with honesty, transparency and fairness in all we do.
Service
We act with empathy and humility, putting the people and businesses we serve at the centre of what we do.
Excellence
We champion innovation, and use our energy, expertise and resources to make a positive difference.
Stewardship
We prize sustainability, and are passionate about leaving things better than we found them.
Our Mindset shapes how we take action, living by our Values, driven by our Purpose, always with our customers and clients at the heart of what we do; our Mindset is to Empower, Challenge and Drive.
Empower
Trust and support each other to deliver. Make decisions with those closest to the topic. Include diverse perspectives. Celebrate success and learn from failure.
Challenge
Question whether things can be done better. Use insights based on data to inform decisions. Be curious about how we can adapt and improve. Speak up and be open to alternative viewpoints.
Drive
Focus on outcomes. Deliver with pace. Be passionate and ambitious about what we do. Take personal responsibility. Actively build collaborative relationships to get things done.