Risk Manager, SPTC Account Compliance AML Suspicious Activity Monitoring Program
DESCRIPTION
The WW Selling Partner Trust and Compliance (SPTC) vision is to enable every brand ranging from the small business to the large multi-national corporation – to be able to thrive and grow into a global selling success.
Our mission is to enable the long-term success of our selling partners by providing the most trusted shopping and selling experience and by providing powerful solutions for accelerating our selling partners’ business growth. We are entrusted with preventing fraud and abuse, and we are guardians for all our customers. We deliver at massive scale through technology, science, and expert human judgment while continuing to think even bigger about the future.
SPTC designs and builds the software systems, risk models, compliance solution and operational processes across Amazon Marketplaces with over 2 million sellers worldwide selling hundreds of millions of items. This minimize risk and maximize trust across Amazon's global product surface area, by ensuring every transaction and entity is compliant. We do all of this while creating a team culture that we are proud of – one that builds fulfilling careers, is inclusive and gives back the community, and is fun to be a part of.
SPTC Account Compliance is looking for a Program Manager to drive its strategic vision and roadmap to effectively scale its transaction monitoring detection, investigation and risk mining capabilities. We are looking for a strong Program Manager with analytical skills to drive key suspicious activity monitoring initiatives across various products and services and multiple geographies. You can influence without authority and skilled at communications across levels and functions. You are always looking to improve processes and are reflective on improving your own processes. You measure effectiveness and you make us better month over month. You are a relationship builder who cares passionately about the customer and how we deliver value each day.
The right candidate will possess a solid understanding AML and transaction monitoring (TM ) combined with a strong business and project management background. You must be able to thrive and succeed in an entrepreneurial environment, and not be hindered by ambiguity or competing priorities. This means you are not only able to develop and drive high-level strategic initiatives, but can also roll up your sleeves, dig in and get the job done, and provide recommendations to speed key decisions. The candidate should also have a track record of timely delivery of large-scale projects, and have the ability to operate independently.
In this role, you will work closely with the legal, business, product, operations, science and engineering teams on effective risk mitigation countermeasures to ensure continued safety and compliance for Amazon. This role will leverage their knowledge of regulations, their insight into industry standards, and their experience in TM coverage assessments, typology assessments and risk mitigation to create and influence policies and strategies.
Key job responsibilities
You will leverage your deep AML experience to drive large-scale efforts to ensure adherence with regulations. You will translate high level requirements into straight-forward solutions, often inventing new ones. We are looking for a critical thinker who is also technically adept and thrives on solving challenges in partnership with teams across Amazon. You should be comfortable with a degree of ambiguity that’s higher than many programs and display high levels of bias for action, earning trust, and ownership.
This position will be responsible for the following activities:
· Lead Suspicious Activity Monitoring Risk Mitigation team by risk mining transaction monitoring using SQL or Python based code to identify applicable business and compliance objectives and risks.
· Suspicious Activity Monitoring controls development using SQL and Python and review control performance.
· Drive strategic projects across business and technical teams and effectively report to senior Compliance leadership on progress.
· Assess and communicate risk posture to the senior management, Compliance Officers, legal, and business stakeholders.
· Work with product, engineering, and analytics teams on development of new solutions to enable compliance at scale.
· Understanding of ML model implementation to build requirements tailored to ML features
A day in the life
The SPTC Account Compliance AML SAM Program team defines, builds, and continuously evaluates controls across the Compliance systems and processes. We perform risk analysis, coverage assessment, typology assessments, identify control needs, and drive control build out, remediation, and improvements. We work most closely with our Technology, Science and Risk Mining teams to build automated solutions that can easily scale to new products and geographies to identify new bad actor activity.
About the team
Here at Selling Partner Services, we embrace our differences. We are committed to furthering our culture of inclusion. We have 14 employee-led affinity groups, reaching 10,000+ employees in chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our DEI Ambassador Program. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
BASIC QUALIFICATIONS
- - Experience with SQL or ETL
- - Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages
- - Experience writing business requirements documents, functional specifications, and use cases
- - Experience defining requirements and using data and metrics to draw business insights
- - Experience writing complex Excel VBA macros
PREFERRED QUALIFICATIONS
- - 5+ years of defining and executing against risk mitigation timelines timeline & requirements experience
- - Working cross-functionally with various technical stakeholders - Engineers, Business Analyst, Data Science teams
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $66,800/year in our lowest geographic market up to $142,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.