Data Engineer (AML/KYC/Sanctions/Fraud Detection Process)

Grail Insights began as the research arm of a strategic consultancy. We are now an independent and rare hybrid: a global insights partner with deep consulting roots. We are at our best when pushed to go beyond the bounds of typical research engagements. Our clients demand answers to their most pressing business challenges. But more than that, they want agility, action and implementation.

That's where we part ways with the limits of lumbering mega-consultancies and the tunnel vision of traditional market research. Grail cares deeply about results beyond the standard PowerPoint deliverable. We are 250 wickedly insightful analysts, consultants, marketing scientists, technologists, data scientists and senior client services officers worldwide, ready to help you identify and seize opportunity, counter threats, and take your business forward.

Role and Responsibilities:

Title: Data Engineers(AML/KYC/Sanctions/Fraud Detection Process) (Immediate Onsite opportunity with a Global leader in web-based technologies and e-commerce)

Job Description: As a Data Engineer, you will be working on client specific projects and will beexpected to understand the client data architecture. You will be required to use different technical skills and variety of tools to generate actionable insights from various client data sources. Your focus shall remain on solving business problems while working with structured as well as unstructured data. Dealing with ambiguity yet providing a structured approach to resolve client’s business issues will be a key requirement in this client facing role

Client Interaction and Management
- Understanding the client objectives and managing client expectations on projects
- Independently work with client to scope and deliver on projects as a part of larger team
- As part of a larger team, align requirements on different work streams and tasks assigned by the client

Project Management
- Making significant contributions to the design of the analytical approach and work plan
- Being responsible for smooth project operations – overall project quality and productivity of teams

Key Skills/Experience:

2-4 years of relevant experience as a Data Engineer in payments compliance process- AML/ KYC/ Sanctions/ Fraud detection.

Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage etc.) and experience with applications.

Knowledge of machine learning techniques (clustering, decision tree learning) is a plus

Proficiency in SQL, Python, Tableau

Prior experience in tuning Sanctions, AML and RR models is highly preferred

Experience in developing dashboards and metrics for payments compliance such as model effectiveness

Experience with building and tuning predictive models and system implementation

Any experience with Customer Risk Scoring, Customer Risk Rating is a plus

Educational Background:

Graduate with an engineering degree (preferably Computer Science) or a degree in statistics/math with experience in coding or equivalent

Post Graduate with analytical pedigree (preferably Operations Research, Econometrics or MBA equivalent with analytical electives)

Location(s):

San Francisco USA

Benefits:

This is a full-time position with standard benefits such as healthcare, dental, vision, 401K and onsite amenities like catered lunches, micro kitchens and shuttle service.