Data Scientist

  • HSBC
  • Edinburgh, Scotland
  • Permanent
  • 2 weeks remaining
Role Purpose
  • Financial Crime Threat Mitigation (FCTM) focuses on the specific financial crime threats the firm faces now and in the future, pioneering the techniques and technology that protect our business, our customers, and the many communities in which we operate from the damage associated with financial crime. FCTM harnesses intelligence, analytics, technology, investigation, information sharing, and public-private partnership to achieve this end, always seeking the most effective and efficient means. FCTM is also partnering with Financial Crime Compliance to build the case for a more efficient and effective regulatory approach by defining a potential new regulatory landscape based on practical, tested innovation and serving as a thought leader in the ongoing public debate on the future of regulatory compliance, transaction monitoring and fraud.
  • The Systems Delivery team ensures that essential systems and data are available to enable FCTM to conduct effective and efficient investigations and analytics. The team is proactive and future-looking, shaping financial crime technology and promoting its adoption across Financial Crime Risk (FCR).
  • The role holder will be responsible for the identification, analysis and implementation of requirements for new capabilities used by FCTM and GRA, and providing the tooling allowing technically capable users to assess and analyse financial crime and reputational risk for all of the Bank’s clients leveraging datasets in the tens of billions of records using Python, SAS, Hadoop, R, Matlab and Jupyter against a significant sized Hadoop cluster and eventually cloud technologies.
  • This will require close and productive working relationships with the IT platform team, FCTM and GRA (Group Risk Analysis) on a Hadoop a platform serving hundreds of analysts and wider non-technical stakeholders.
  • The role will be based in Edinburgh, but may require occasional nationwide or overseas travel.

Key Accountabilities

Leadership & Teamwork
  • Promotes pace and energy within the team and leads by example
  • Understands differences between people as an opportunity to learn from varied viewpoints
  • Gains a clear understanding of others’ point of view by listening, asking clarifying questions and reflecting back; encourages and facilitates open and honest debate with tact and integrity, even where sensitive issues are involved
  • Supports others design efforts where they have relevant experience and operates in a collaborative manner
  • Organizes team engagement and motivation initiatives (e.g. learning and development opportunities, team networking events etc.)
  • Builds professional relationships and networks with people in or outside the team as part of day-to-day work
  • Seeks opportunities to work collaboratively across boundaries
  • (e.g. with different teams, geographies, cultures etc.)
  • Where applicable, manages a team and the performance of individuals against performance objectives and project or product roadmap
Major Challenges
  • Identifying and driving enhancements to the FCTM Technology suite to drive greater global operational effectiveness and increase the return on investment
  • Developing and maintaining strong and productive relationships with a diverse set of customers and stakeholders
  • Using the technical and business knowledge to formulate actionable solutions to problems or identify new opportunities to enhance the system
  • Rapidly developing an accurate understanding of highly complex tool intelligence analytics tools, including multiple data feeds, network analysis logic and algorithmic scoring models
  • Developing a large body of contextual knowledge on wholesale banking sectors and retail transaction monitoring, as well as the specific financial crime risks associated with them.
  • Participating in providing the platforms to facilitate the transformation of transaction monitoring away from an event driven to a contextual driven model to fight money laundering and fraud.
Role Context
  • Identifying and driving enhancements to the FCTM Technology suite to drive greater global operational effectiveness and increase the return on investment
  • Developing and maintaining strong and productive relationships with a diverse set of customers and stakeholders
  • Using the technical and business knowledge to formulate actionable solutions to problems or identify new opportunities to enhance the system
  • Rapidly developing an accurate understanding of highly complex tool intelligence analytics tools, including multiple data feeds, network analysis logic and algorithmic scoring models
  • Developing a large body of contextual knowledge on wholesale banking sectors and retail transaction monitoring, as well as the specific financial crime risks associated with them.
  • Participating in providing the platforms to facilitate the transformation of transaction monitoring away from an event driven to a contextual driven model to fight money laundering and fraud.
Role Dimensions
  • Due to the nature of the role there is limited direct financial responsibility. However, the largest fraud/financial crime events in the wholesale banking environment (e.g. Madoff, Stanford, Parmalat, Enron, etc) have the potential to result in losses of billions of dollars, so the indirect financial impact of the role is highly significant.
  • The savings presented by the opportunity to rethink transaction monitoring present particular savings in the context of the significant fines levied across the industry and against HSBC.
Management of Risk
  • The role itself involves risk management and the role holder must show strong leadership in this area by continually reassessing the operational risks associated with the role, taking account of changing economic, legal, technological and regulatory environments and adhering to all procedures and practices.
Observation of Internal Controls
  • The jobholder must adhere to all relevant internal controls and should be able to demonstrate a flawless track record in this area and ensuring that the tooling developed

Qualifications

Knowledge
  • Strong knowledge of the external environment – regulatory, political, competitors etc.
  • Understanding of at least one of the following languages for data analysis and an awareness of others: Python, SAS, R, Matlab.
  • SQL skills or a demonstrable ability to learn SQL quickly from previous experience.
  • Working knowledge of either Hadoop, a cloud platform for data analysis or another modern analytics platform at scale.
  • Basic understanding of the challenges of distributed data processing.
  • Basic understanding of the principles of Machine learning and statistics (desirable)
  • Basic Business reengineering knowledge.
  • Business analysis, requirements gathering and design techniques.
  • Change management and implementation management techniques and approaches.
  • Either understanding of version control and devops technologies and techniques OR a understanding of modelling lifecycle and automated model testing and control
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  • Experience of a multiuser, large scale analytic platform as a user or platform analyst.
  • Proven track record as an outstanding analyst, consultant and/or project manager
  • Financial services industry knowledge
  • OR demonstrable knowledge in another industry in a setting which depends on the deployment of diverse data-driven models into a production system eg. Pharma, Oil and Gas or webscale internet.
  • Extensive experience gathering requirements and conducting design activity, with a mix of business, operations and technology focused projects.
  • Exposure to business case development and a sound understanding of how design enablers underpin business benefits.
  • Experience of delivering change into different audiences .
  • Effective communication, inter-personal and negotiating skills.
  • Excellent decision making and problem solving ability.
  • Sound judgmental skills to identify and resolve problems.
  • Proven ability to work across regions whilst maintaining a global perspective.
  • Proven ability to work with senior stakeholders and business sponsors.
  • Experience with cloud technologies (desirable)
Capabilities
  • Business Analysis & Design
  • Data Visualization
  • Explaining tools, techniques and technologies to others.
  • Achieving Excellence
  • Delivery at Pace
  • Impactful communication
  • Business Case and Benefits Realisation
  • Change and Implementation Management
  • Stakeholder Management
  • Problem Solving and Critical Thinking
  • Collaboration
  • Commerciality
  • Process Re-engineering
  • Consultancy

Qualifications and Accreditations

  • Degree in computer science, engineering or a natural science –Differentiator
  • Professional analytic or analytic BA qualifications – Differentiator

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