Fraud Analytics Manager Jobs

Experience with fraud management platform such as PRM/TSYS/VCAS strongly desired

Strong prioritizing, planning, analytical, presentation, project management, and relationship building skills

Strong communication skills essential with clients, vendors and management

Experience with statistical software such as SQL, SAS and/or Knowledge Seeker

Participate in discussions with IT partners and vendors on requirements and solution design

Own the development of fraud forecasting and provide insight to fraud operations and business leaders

Has strong data skills, with applied experience and demonstrated success in academic and/or professional settings

Build data-driven business cases around fraud strategies to manage the risk on new & existing products

Create metrics & visualizations to monitor account activity, applying judgment skills to uncover anomalous patterns

Experience in structuring ambiguous problems, using data to conduct quantitative and qualitative analysis, and synthesizing results into actionable proposals

Has experience working with large datasets and languages like SQL, R, or Python; databases like Snowflake, Redshift, MySQL

Has experience working with data visualization softwares such as Tableau, Looker, PowerBI, etc

Experience managing relationships with peers, clients, and partners (primarily from a sales pipeline and partner management perspective)

Project management experience; solid attention to detail and operational focus

10+ years of strong, diverse experience in the data and Fraud analytics space

Experience working in a matrixed environment

Strong communication skills, written and verbal

Strong problem solving and interpersonal skills and ability to work as part of a diverse team

Communication Skills – Excellent verbal and writing skills to effectively articulate ideas and opinions that involve analysis, interpretation, and assessment.

have the flexibility to manage your work activities within a hybrid work arrangement where

spend 1-3 days per week on-site, while other days will be remote.

You have a degree/diploma in an Analytics/Statistics/Computers Based discipline. Master’s level degree would be an asset.

Values matter to you. You bring your real self to work, and you live our values – trust, teamwork, and accountability.

What You will Be Doing

Strong stakeholder management and problem-solving skills

Manage comprehensive investigations through to reporting to the applicable governing authorities. Ensure maintenance of thorough investigation records.

5+ years’ experience in Financial Crimes investigations ideally within the financial sector

Knowledge of current Risk, Anti-Fraud, and Anti-Money Laundering obligations and frameworks

Strong communication skills, both written and verbal, with the capability to articulate complex technical information

The QC exercise includes review of Level 1 and 2 alerts and checking/verifying any STRs

2+ years’ experience in a Data science and analytics

Experience with Databases and Data Structures (RDBMS, Hadoop etc.)

Strong team player with a track record of collaboration and experience working as part of an agile team

Collaborate with appropriate partners for action, correction, awareness and training

Build the foundation of information in consolidated data repositories for Operations, Fraud Events, Fraud Performance and Financials

Advanced capability in using Python, R, PySpark, SAS, SQL and Tableau

As our new Manager, IT Security & Fraud Analysis, you will:

Manage fraud detection and use case development.

Why work for Scene+? The best of all worlds. We offer:

What's in it for you:

Excellent time management skills and demonstrated ability to prioritize workload

Experience interfacing with end-users, BSAs, and developers to capture data requirements

Strong understanding of Agile Project Management and familiarity with Business Process & Data Modelling

Collaborate on project brainstorming and prioritization exercises, provide business recommendations and translate priorities into project requirements

2+ years’ experience working with data (SQL, DB2, Teradata)

Strong collaboration skills to establish best practices, identify optimal technical solutions and data structure

3-5 years analytical experience preferred including statistical analysis, ideally related to Fraud Analytics or Risk Management

Strong prioritizing, planning, analytical, presentation, project management, and relationship building skills

Strong communication skills essential with clients, vendors and management

Contribute to and support a variety of projects and initiatives across the Fraud Management Group

Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.

Participate in discussions with IT partners and vendors on requirements and solution design