Job type remote
Benefits pulled from the full job description
Health insurance parental leave retirement plan work from home
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Full job description
Job title: remote anti-money laundering transaction monitoring sme/data lead
Corporate title: vice president
Location: remote work for candidates living in: az, ct, dc, fl, ga, il, md, mo, nj, nm, nc, pa, tx , ny, tn, ne and va
Overview
Working in deutsche bank’s anti-financial crime (afc) team provides you with opportunities to learn, grow and define your careerWe foster an open, diverse, and inclusive team culture, that is engaged and well-supported for prosperity and enjoyment of a life/work balanceOur afc team in the us is experienced in mitigating financial crime and committed to ensuring adherence to regional and global regulationsOur regional/global matrix structure allows for flexible responses to challenges in the core areas of: anti-money laundering, sanctions & embargoes, anti-fraud, bribery & corruption, investigations & intelligence, monitoring & screening, and risk assessmentWe apply the highest standards of conduct to guarantee the bank’s success in fighting financial crime.
What we offer you:
A diverse and inclusive environment that embraces change, innovation, and collaboration
A hybrid working model, allowing for in-office / work from home flexibility, generous vacation, personal and volunteer days
Employee resource groups foster an inclusive workplace for everyone and promote community engagement
Competitive compensation packages including health and wellbeing benefits, retirement savings plans, parental leave, and family building benefits
Educational resources, matching gift, and volunteer programs
Remote work opportunity for candidates living in: az, ct, dc, fl, ga, il, md, mo, nj, nm, nc, pa, tx, ny, tn, ne and va
Hear from our people and look inside our office: [email protected] muse
Your key responsibilities:
Work with line of business first line of defense (1lod) to understand the products being offered and define specifications/red flags for transaction monitoring models
Address and resolve logic and configuration issues in monitoring scenarios by conducting tuning & optimization exercises; perform `deep dives` to interpret data quality issues, identify remediation, and track to resolution
Review and address open aml team manager findings from model validation, audit and other independent bodies in a timely fashion
Work in partnership with afc stakeholders to develop and drive initiatives that transform and modernize the capabilities and services of monitoring within the afc function
Support implementation of sustainable data controls (sdc’s) and conduct validation/testing prior to rollout
Represent the group in various data governance forums, and clearly communicate data related issues and potential resolution paths
Your skills and experience:
Bachelor’s/master’s degree in mathematics, economics, computer science, data science, mis, information management, or statistics preferred
Extensive experience in financial crime space with expertise in aml transaction monitoring and aml transaction monitoring systems, preferably mantas or actimize; extensive experience with aml transaction monitoring data and data analysis
Sme in financial crime compliance covering multiple product lines such as correspondent banking, wealth management, brokerage, trade and asset management; prior experience/interaction with monitors, audit, and regulators will be viewed positively
Knowledge and understanding of financial crime and aml policies, procedures and control arrangements in a complex financial organization; strong understanding of aml red flags, typologies and transaction monitoring data for various lines of businesses
Strong experience in analyzing data from multiple sources, including hands-on experience with data quality and remediation tasks; demonstrated experience with oracle, sql, sharepoint & jira
How you’ll lead:
Excellent verbal and written english communication skills
Ability to interpret complex requirements and be a self-starter
Direct or indirect experience in big data and/or data science
Our values define the working environment we strive to create – diverse, supportive and welcoming of different viewsWe embrace a culture reflecting a variety of perspectives, insights and backgrounds to drive innovationWe build talented and diverse teams to drive business results and encourage our people to develop to their full potentialTalk to us about flexible work arrangements and other initiatives we offer.
We promote good working relationships and encourage high standards of conduct and work performanceWe welcome applications from talented people from all cultures, countries, races, genders, sexual orientations, disabilities, beliefs and generations and are committed to providing a working environment free from harassment, discrimination and retaliation.
We are an equal opportunity employer – veterans/disabled and other protected categoriesClick these links to view the following notices: `eeo is the law poster` and supplement ; employee rights and responsibilities under the family and medical leave act ; employee polygraph protection act and pay transparency nondiscrimination provision .
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