Data Science Consultant

Key Skills

Aartificial intelligence, Data Biuld Tool - dbt, Data science techniques, Design, Effective communication skills, IT, NumPy, Oracle, Pandas, Python Programming, SQL, Unix Operating system

Job Description

Responsibilities:

• Prepare and lead requirement gathering workshops with clients
• Provide innovation, leadership and influence in the design of client-centric solutions that are aligned with the NetReveal product offering.
• Manage the client review and sign-off process for the suite of functional documents and artefacts.
• Take overall responsibility for the documentation of functional artefacts.
• Build strong relationships with senior client stakeholders and internal Product Management team.
• Keep abreast of product & regulatory changes.
• Project-driven work requirements with overtime as needed to meet deadlines.
• Collaborate with data scientists and product implementation engineers during Sensa-NetReveal deployments.
• Collaborate with AI Researchers and Software Engineers in R&D

Key Requirements:

• Minimum of 5 years' experience within the financial services industry in a client-facing role.
• Minimum of 5 years’ experience working with NetReveal or similar compliance product including PEP/Sanctions screening, Customer Due Diligence and SWIFT payment filtering solutions.
• Expertise in industry standard modelling tools and methods
• Client-facing experience is essential including delivering presentations and product demonstrations, running workshops and managing client's expectations.
• Experience of delivering complex business or technology solutions, from gathering requirements to designing solutions
• Excellent communication skills, both written and verbal and able to communicate confidently and effectively at any level of the organisation.
• Ability to grasp technical concepts and translate them into business solutions.
• Good working knowledge of SQL and experience with Databases such as Oracle, DB2, SQL Server and Postgres
• Good working knowledge of Python (Pandas, NumPy, and scikit-learn) or similar.
• An understanding of compliance processes and workflows within the financial services industry advantageous
• Experience of software development lifecycle practices (preferably Agile).
• Good knowledge of IT systems, architectures and terminology.
• Strong interpersonal/leadership skills.
• Knowledge and exposure with Unix (Solaris, AIX, Linux, HP UX) advantageous
• Advantageous to have knowledge of financial regulatory topics, ideally to include AML, KYC, FATCA, CRS, and related topics.