AML/Fraud Analyst - BFS

You will be primarily working for the centralized advanced analytics team of a banking firm to help develop leading edge AML models for transaction monitoring, name matching, watch-list monitoring, customer risk scoring as well as providing input to the framework for model development. The role will require interacting with various business units including their risk, finance, controllership stakeholders etc.

You will also be responsible for coordinating with auditors and model development teams to ensure the AML and Enterprise Modeling Governance standards are followed; Your activities will include, but will not be limited to the following :

- Provide analytical support for recommending actions to mitigate risk and use judgment-based decision-making regarding AML policies and procedures

- Accomplish the objectives of the Enterprises' AML Program through effective oversight and support of critical AML applications

- Assess the quality of the data for model development as well as inputs to the model, providing recommendations to improve the data quality at the source

- Developing models, testing, reviewing and performing validation activities and prepare end to end model documentation

- Propose recommendations to improve monitoring systems and capabilities based on identified risk and control gaps

Qualifications we seek in you :

Minimum qualifications :

- Experience in BFS Risk analytics preferably in AML area

- Experience in developing, validating models and risk management of anti-money laundering related models

- Provide independent review (IR) and challenge of different aspects of model (conceptual soundness, model performance etc.) across different AML model to a high degree of depth, as required by and detailed in the Bank's policies and standards

- Detailed knowledge of data analysis / analytics / mining techniques

- Sound knowledge of banking operations

- Hands on expertise in SQL, ETL, SAS, Python, R working with large data sets

- Strong scripting and automation experience using SAS/Python/R etc

- Hands-on Experience in Statistical and Machine Learning models

- Minimum of a Master of Science in Statistics/Economics/Finance or Bachelor's in Engineering, Computer Sciences, Information Management

- Strong client management and communication/presentation skills - written & verbal

- Self-driven, proactive, "can-do" attitude. Ability to work under ambiguity and with minimal supervision

- Strong project management experience and demonstrated expertise of communicating and coordinating across multiple business units

- Strong project management orientation with ability to work under time-sensitive commitments

- Lead projects and teams - provide thought leadership, technical guidance, training and oversight

- Participate in solution development, proposal build and RFI/RFP responses for new business

Preferred qualifications :

- Strong networking, negotiation and influencing skills

- Prior experience in financial crime, risk assessments

- AML/fraud analysis knowledge would be preferred