AML Testing Analyst Job at Citi (Warsaw)

Sanctions & AML Senior Analyst Operations Expert for Digital Assets

Sanctions & AML Senior Analyst Operations Expert for Digital Assets, the purpose...

Location

Malaysia , Kuala Lumpur

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Sanctions
risk management
compliance – banking ops or fin tech industries

Job Responsibility

Analyzing on-chain and off-chain data using specialized blockchain analytics tools to identify suspicious transactions and Travel Rule packages
Analyzing non-digital transactions in securities and cash transfers for their compliance with relevant sanctions regimes
Investigating and dispositioning alerts generated by digital asset, non-digital securities, and cash transactions
Screening customer wallet addresses against applicable sanctions, internal, and other relevant watchlists
Screening non-digital securities holdings of Citi’s clients against applicable sanctions
Conducting and documenting enhanced due diligence on digital asset, non-digital securities, and cash transactions
Preparing comprehensive case files with clear justifications for escalation to the second line of defense or for potential regulatory reporting
Executing control actions, such as blocking transactions, in response to confirmed matches with sanctioned parties or prohibited activities
Identifying and assessing emerging AML, fraud and sanctions evasion typologies and risks specific to the digital and non-digital assets ecosystem
Contributing to the development, testing, and tuning of blockchain, securities on-exchange, and OTC transactions monitoring rules to enhance detection accuracy and reduce false positives

Fulltime

Fraud & AML Data Analyst

Shape the future of trust in the age of AI. At Oscilar, we're building the most ...

Location

Salary:

Not provided

Oscilar

Expiration Date

Until further notice

Requirements

4+ years of experience as a data analyst, data scientist or a related field, with a focus on fraud prevention and/or anti-money laundering
Proficiency in Python and SQL
Knowledge of machine learning algorithms and statistical techniques, with a focus on their application in fraud detection
Experience working with large datasets and handling data-related challenges such as data cleaning, data quality, and data transformation and feature engineering at scale
Excellent analytical and problem-solving skills, with the ability to derive actionable insights from complex data
Strong communication skills, with the ability to explain complex concepts and findings to both technical and non-technical audiences
Ability to work independently and collaboratively in a fast-paced, dynamic startup environment

Job Responsibility

Analyze large-scale transaction, account, and behavioral datasets to identify fraud, AML, and abuse patterns across: Onboarding (synthetic identity, fake accounts, mule risk), Account activity (ATO, session hijacking, social engineering), Payments (card-not-present fraud, ACH/wire fraud, crypto typologies)
Develop risk segmentation, cohorts, and KPIs (fraud rate, approval rate, loss rate, false positives)
Evaluate rule-based and ML-driven decision strategies and quantify performance trade-offs
Partner with customers to: Diagnose their fraud and AML pain points, Interpret model outputs, alerts, and decision logic, Design and refine risk strategies using our platform
Produce customer-facing analytics, dashboards, and readouts that translate data into actionable risk decisions
Act as a trusted analytics advisor for customers implementing or scaling fraud programs
Work closely with Product and Engineering to: Define data requirements and success metrics for new features, Provide feedback on model explainability, rule tooling, and case workflows, Identify gaps in data, signals, or product capabilities based on real customer usage
Support experimentation (A/B tests, challenger strategies, rule tuning)
Contribute to internal and external documentation, including: Fraud and AML best practices, Lifecycle risk frameworks, Playbooks for onboarding, ATO, and payment fraud
Help shape standardized analytics and reporting frameworks across customers

What we offer

Competitive salary and equity packages, including a 401k
Remote-first culture — work from anywhere
100% Employer covered health, dental, and vision insurance with a top tier plan for you and your dependents (US)
Unlimited PTO policy
AI First company
both Co-Founders are engineers at heart
and over 50% of the company is Engineering and Product
Family-Friendly environment
Regular team events and offsites
Unparalleled learning and professional development opportunities

Fulltime

Senior Business Analyst - Anti-Money Laundering (AML) Modeling

As a Senior Business Analyst at Capital One, you will apply your strategic and a...

Location

United States , Chicago; Richmond; McLean

Salary:

101100.00 - 126900.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

At least 2 years of professional experience performing analysis
Currently has, or is in the process of obtaining a Bachelor's Degree in a quantitative field (Business, Finance, Accounting, Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer engineering, Software engineering, Mechanical engineering, Information Systems or a related quantitative field)
or a Master's Degree in a quantitative field (Business, Finance, Accounting, Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration

Job Responsibility

Identify business challenges and opportunities for improvement and solve for them using analysis to make strategic or tactical recommendations
Perform modeling/analytics to assist new product and pricing strategies for various lending products
Support direct-to-consumer marketing efforts for select products, and strategic intent for products distributed through the retail channel
Help build targeted insights to inform the design and development of new customer experiences, as well as breakthrough technology and concepts designed to deliver on new go to market strategies
Support step-change improvements in credit performance by connecting drivers of future consumer credit trends to historical behavior, creating risk models, and testing hypotheses using rigorous monitoring and analysis
Involve problem frame-works, develop hypotheses, test and analysis, solution development, scope operational feasibility, lead implementation efforts and develop a monitoring plan
Work closely with colleagues across Capital One including: IT, Sales, Operations, Finance and others to drive improvement in quality, volume, service, and profitability

What we offer

performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Fulltime

New

Technology Product Management Lead Analyst - Vice President

The Technology Product Management Lead Analyst is a strategic professional who s...

Location

United States , Tampa

Salary:

125600.00 - 188400.00 USD / Year

Citi

Expiration Date

June 10, 2026

Requirements

6-10 years working in agile culture with 3+ years of relevant experience working as a Product Owner preferably in banking domain and within the AML area
Proven ability to lead, prioritize, and influence cross-functional teams effectively
Demonstrated skill in prioritizing tasks to deliver maximum business value from multiple stakeholder requests
Excellent communication skills for engaging stakeholders and driving collaboration
Strong problem-solving and decision-making capabilities
Ability to understand data requirements, create complex SQL queries, and analyze/validate data
experience with ETL projects
Problem-solver, curious, inquisitive, and detail-oriented
Proficient in MS Excel, PowerPoint, and agile tools like Jira/MS Teams
In-depth data analysis skills to synthesize findings and present insights

Job Responsibility

Own and develop the product / value stream vision which will be the north star for driving strategic outcomes for the Scrum Team(s) supported
Inspire the team to deliver upon the goals
Lead the product functional design process and create the product roadmap based upon an intimate knowledge of the users and technology
Work in an agile environment by continuously reviewing the business needs, refining priorities, outlining milestones and deliverables, and identifying opportunities and risks
Responsible to create Product features and epics functionalities in JIRA which enable achievement of business goals by collaborating with stakeholders
Create and own the product backlog prioritizing features which enable maximizing the business value
Facilitate backlog decomposition sessions with the technology teams to clearly define requirements from a user perspective, inclusive of acceptance criteria breaking down large stories for the team to consume in one sprint
Participate in the testing /review sessions and provide support for release
Oversees user acceptance testing to identify and remedy defects and approves final testing results
Accept the work completed by the team prior to release to production

What we offer

medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

Fulltime

!

Data Scientist, North America Onboarding Team

As a Data Scientist on the North America Onboarding team, you will leverage your...

Location

United States , Austin

Salary:

Not provided

Assessfirst

Expiration Date

Until further notice

Requirements

Proven experience in a Data Scientist role, ideally with exposure to fraud detection, anti-money laundering (AML), or KYC/KYB domains within a FinTech or regulated business environment.
Strong proficiency in machine learning frameworks and Python programming language and are able to make and justify design decisions in your code. You know how to use Git to collaborate with others and are able to review code.
Expertise in data querying languages such as SQL, with experience working with large datasets and data processing technologies (e.g., Spark, Snowflake).
Familiarity with anomaly detection, supervised and unsupervised learning methods, and real-time risk scoring and data analysis.
Demonstrated ability to work collaboratively in cross-functional teams and effectively communicate complex technical concepts to non-technical stakeholders.
A strong product mindset with the ability to work independently in a cross-functional and cross-team environment.
Experience with statistical analysis and good presentation skills to drive insight into action.
Strong problem-solving skills with the ability to help refine problem statements and figure out how to solve them.
Familiarity with automating operational processes via technical solutions, for example Large Language Models (LLMs)

Job Responsibility

Design, develop, and deploy machine learning models to enhance our detection of financial crime, compliance violations, and risk associated with customer onboarding (KYC) and business verification (KYB).
Take over existing models to prevent chargebacks in North America. Ideate and work on new opportunities with ML to help reduce losses on chargebacks to reduce customer fees.
Analyze large volumes of customer and business data to identify trends, patterns, and anomalies related to identity verification and regulatory risk typologies.
Design and implement experiments (A/B tests) to evaluate the effectiveness of new risk controls and product features, continuously improving performance and balancing compliance with customer experience.
Develop robust data pipelines, algorithms, and tooling using Python and SQL to support real-time data ingestion and model scoring for the KYC/KYB process.
Collaborate with analysts, compliance teams, and engineers to translate complex business and regulatory requirements into actionable data insights and automated solutions.
Stay informed about the latest advancements in data science, machine learning, and regulatory compliance techniques to ensure state-of-the-art capabilities in the risk domain.

Financial Crime Analyst

We are seeking a dynamic and analytical Financial Crime Analyst to join our team...

Location

France , Paris

Salary:

Not provided

Spendesk

Expiration Date

Until further notice

Requirements

3–5 years of proven experience, ideally in AML and Financial Crime, though KYC or Compliance related backgrounds will also be considered
Strong understanding of the French AML/CFT regulatory framework and applicable EU directives
You should be comfortable using and improving AI tools to streamline workflows
Comfortable gathering and analysing data/MI to draw actionable insights
Full professional fluency in both French and English is essential
Industry certifications such as ACAMS or ICA are considered a strong advantage
Highly Flexible & Broad-Minded
Proactive, Self-Motivated & Solutions-Oriented
Analytical Thinking & Attention to Detail
Effective Time Management & Prioritisation

Job Responsibility

Assist the MLRO with day-to-day requirements and long-term strategic projects, ensuring compliance with regulatory obligations
Handle daily escalations regarding customer onboarding by applying strong KYC knowledge and sound decision-making skills
Conduct AML investigations using Open Source Intelligence (OSINT) and internal data, preparing case packs and draft recommendations for the MLRO
Plan and conduct targeted thematic reviews across different business areas to assess the effectiveness of compliance controls
Gather Management Information (MI), and conduct comprehensive analysis to identify trends, patterns, and potential risks
Lead the creation, review, and continuous updating of Financial Crime and AML Policies, Procedures, and operational guidance
Regularly test and evaluate transaction monitoring, customer screening, and ongoing monitoring tools
Assist the MLRO in developing, delivering, and tracking financial crime training across the organisation

What we offer

Flexible on-site policy: 4 days per month remote (non-accumulative) and 3 full weeks remote per year (non-consecutive)
Lunch 60% funded by Spendesk (Swile Card)
Alan Premium health insurance
A Gymlib pass to let off steam
Access to Moka.care for emotional and mental health wellbeing
Latest Apple equipment
Great office snacks to fuel your day
A positive team to work with daily

Fulltime

Digital Tech Program Lead Analyst

Location

United States , Tampa

Salary:

148800.00 - 154500.00 USD / Year

Citi

Expiration Date

July 07, 2026

Requirements

Bachelor's degree, or foreign equivalent, in Engineering (any), Information Technology or related field
6 years of progressively responsible, post-baccalaureate experience as a Senior System Analyst, Product Owner, Senior Business Analyst, Technology System Consultant, Manager-Business Consultant, Senior Consultant, Analyst Programmer, Technology Analyst or related position involving analyzing, designing and implementing technology solutions
6 years of experience must include: Analyzing existing systems and new requirements with stakeholders and identifying gaps
Defining requirements, prioritizing backlogs, and ensuring system solutions align with business objectives
Coordinating global programs, managing risks and dependencies, and ensuring delivery is on time and within budget
Managing stakeholders, coordinating requirements, testing and deployment across regions, and aligning IT compliance
Using banking domain knowledge and technical skills (Databases Oracle, Datawarehouse, Business Intelligence tools) to understand requirements and translate compliance requirements to technical solutions

Job Responsibility

Lead requirement gathering and business value assessments with stakeholders
document functional and technical specifications, user stories, and acceptance criteria
Analyze, design, and implement technology solutions
Provide product ownership
define system enhancements, prioritize backlogs, and ensure technical delivery meets compliance objectives
Direct and coordinate projects, including budgeting, forecasting, dependency tracking, risk identification, change management
Coordinate testing life cycle including unit, integration, and user acceptance testing
coordinate bug resolution with development and Quality Assurance teams
Work with engineering teams to develop technical solutions for AML using Oracle, Data Warehouse, implement AML dashboards and ad-hoc reports using Excel or BI solutions like Business Objects or MicroStrategy

What we offer

Medical, dental & vision coverage
401(k)
Life, accident, and disability insurance
Wellness programs
Paid time off packages (planned time off (vacation), unplanned time off (sick leave), and paid holidays)

Fulltime

Tm Analyst - Buk

Step into a role of TM Analyst - BUK, where you'll provide first-class support b...

Location

India , Noida

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Conduct transaction monitoring to identify suspicious activities and ensure compliance with AML regulations
Understanding of KYC, CDD, EDD , Sanctions, negative media & PEP checks to verify customer identities and assess risk profiles
Support SAR investigations and reporting while maintaining adherence to regulatory and compliance standards
Support with day-to-day Transaction Monitoring initiatives including, reviewing, investigating and reporting through AML expertise
Execution of monitoring checks on customers, transactions, and other activities to identify potential risks and comply with regulatory requirements
Preferable experience in AML and Transaction Monitoring
Should be able to interact with customer support team for queries related to customer transactions
Should be flexible for any shifts
Should have worked on all Risk types -individual and business client types
Proficiency in spoken and written English is a must

Job Responsibility

Support with day-to-day Transaction Monitoring initiatives including, reviewing, investigating and reporting through AML expertise
Execution of monitoring checks on customers, transactions, and other activities to identify potential risks and comply with regulatory requirements
Management of issues and alerts arising from transition monitoring tests, including the investigation and resolution of each incident
Collaboration with teams across the bank to align and integrate Transaction Monitoring processes
Identification of areas for improvement and providing recommendations for change in Transaction Monitoring processes
Development and implementation of Transaction Monitoring procedures and controls to mitigate risks and maintain operational efficiency
Identification of industry trends and developments to implement best practice in Transaction Monitoring Services
Participation in projects and initiatives to improve Transaction Monitoring efficiency and effectiveness

What we offer

Wellness rooms
Gyms
Mental health support
Collaborative Areas
Socialising
Sports
Community events
Volunteering

Fulltime

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AML Testing Analyst

Job Description

Job Responsibility

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