CASY-MSCCN Jobs

Description

The primary area of responsibility for the Sr. Risk Data Scientist will be in Anti Money Laundering (AML) and Sanctions compliance, however, depending on candidate experience, the role will also cover other areas of responsibility including model development for consumer risk and other areas of regulatory compliance.

As required by the Bank Secrecy Act and the US Patriot Act, the purpose of this position is to perform quantitative analysis in support of the bank’s various models used to detect cases of both potential money laundering/terrorist financing crimes and BSA/AML violations throughout the entire Citizens footprint. As a Sr. Data Scientist, you will work alongside Senior and Principal Data Scientists and subject matter experts to collect, organize, and prepare data for use in the development of models as well as to provide data driven insights into risk and compliance problems.

Will be responsible for:

• Supporting the vendor model configuration, calibration, updates, and troubleshooting and developing strategies to enhance the model output.

• Developing models using machine learning (ML), statistical, and other quantitative methods and supporting implementation of both Vendor and internally developed models

• Building relationships with business lines and collaborating cross-functionally to access internal as well as industry data sources, understand the data being analyzed, and identify process improvement opportunities.

• Supporting ad-hoc requests from the line of business by understanding requirements, formulating, and communicating approach and obtaining approvals to proceed

• Producing and articulating strategic recommendations based on rigorous data analysis leveraging appropriate quantitative techniques and data visualization.

• Preparing model documentation and responding in a timely manner to effective challenge from model validation, internal audit, and regulatory reviews; overseeing the tracking and execution of all external and internal validation findings related to vendor and internally developed models.

• Developing and leveraging knowledge of AML & Sanctions risks and controls as well as consumer credit and other areas of banking to lead input analysis, fine tuning, calibration of the models and identifying opportunities for process optimization.

Qualifications:

• 2-4 years of work experience in data modeling, statistical analysis, and relevant computing requirements. PhD. degree can be used in lieu of the work experience requirement.

• Experience in producing documentation in a highly regulated environment.

• Proven experience working with model risk management in the model validation process.

• Deep knowledge of a variety of statistical concepts and model development techniques, such as: generalized linear models, machine learning algorithms, experimental design, stochastic processes, Markov process modeling, and data visualization.

• Strong verbal communication skills required with an ability to successfully communicate analytic results, business insights and resulting business implications to non-technical business partners.

• Strong programming skills and ability to utilize a variety of data/analytic software languages/tools (e.g., SQL, R, Python, XML, etc.)

• Deep knowledge of a variety of statistical concepts and model development techniques, such as: generalized linear models, machine learning algorithms, experimental design, stochastic processes, Markov process modeling, and data visualization.

• Knowledge of SWIFT and ISO20022 messaging standard, transactions filtering, client screening and transaction monitoring preferred but not required.

• Ability to work in a team environment and collaborate with colleagues who have a background in statistics, database development/maintenance, or information technology.

Education:

• Bachelor’s degree in operations research/Statistics/Mathematics/Physics/Computer Science/Economics required

• Masters preferred.

Hours & Work Schedule: Hybrid- 3 days in 28 State Street, Boston MA office - 2 day working from home.

• Hours per Week: 40

• Work Schedule: Monday-Friday

Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.

Equal Employment Opportunity

At Citizens, we are committed to fostering an inclusive culture that enables colleagues to bring their best selves to work every day. Employment decisions are based solely on experience, performance, and ability. Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression (including transgender individuals who are transitioning, have transitioned, or are perceived to be transitioning to the gender with which they identify), genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague’s or a dependent’s reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws.

Equal Employment and Opportunity Employer

Citizens is a brand name of Citizens Bank, N.A. and each of its respective affiliates.

Why Work for Us

At Citizens, you'll find a customer-centric culture built around helping our customers and giving back to our local communities. When you join our team, you are part of a supportive and collaborative workforce, with access to training and tools to accelerate your potential and maximize your career growth

Background Check

Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information.