Senior Data Analyst - Risk Job at Adyen (Amsterdam)

Markets Data Risk Senior Lead Analyst - Senior Vice President

We are seeking a highly experienced Senior Vice President (SVP) to fill a global...

Location

United Kingdom , London

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Significant senior-level experience in risk management, data governance, or internal audit within the financial services industry
Deep understanding of a Markets business, including complex traded products, end-to-end trade lifecycles, and associated data flows
Proven, in-depth expertise in the design, implementation, and assessment of risk and control frameworks, including hands-on experience with RCSA/MCA processes
Comprehensive understanding of data's role in business decisions, risk management, and regulatory compliance, with the ability to analyze data lineage and architecture
Exceptional communication and influencing skills with a demonstrated ability to present data-driven narratives to senior stakeholders
A track record of developing and implementing long-term strategies that deliver measurable improvements in control effectiveness and risk reduction

Job Responsibility

Lead rigorous, top-down assessments of data controls across all Markets processes to identify weaknesses and gaps
Own and refine the Risk & Control Self-Assessment (RCSA)/Manager Control Assessments (MCA) for Markets Data
Design robust data controls to mitigate identified risks
Evolve and enhance the Markets Data Risk Appetite framework, defining standards for inherent risk, control effectiveness, and residual risk tolerance
Drive the implementation of new data controls within existing governance frameworks and operational workflows
Develop key data quality metrics (KRIs/KPIs) and deliver insightful reports on control effectiveness and the overall risk landscape to senior management
Serve as the organization's senior expert on data risk and controls
Act as a primary liaison between Data Managers, Process Owners, and senior leadership, using exceptional influencing skills to drive complex, cross-functional control improvement initiatives

What we offer

Generous holiday allowance starting at 27 days plus bank holidays
increasing with tenure
A discretional annual performance related bonus
Private medical insurance packages to suit your personal circumstances
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends
Access to an array of learning and development resources

Fulltime

Wholesale Credit Risk Data Quality Analytics and Reporting Senior Lead Analyst- Senior Vice President

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

15+ years of experience in Banking or Finance industry preferred
12+ years of experience on working with Wholesale Credit Risk dataset
Experience / Certifications in Agile Methodology preferred
Experience monitoring and managing Data Quality on an ongoing basis, including identifying and resolving issues
executing against Data Quality strategies and policies
Communicates effectively, develops and delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences
able to drive consensus, and influence relationships at all levels
Collaborates effectively by building partnerships and working well with others to meet shared objectives
Strong negotiation, influencing and stakeholder management skills across a variety of stakeholders at different levels
Optimizes work processes by balancing effective / efficient processes with a focus on continuous improvement. Demonstrates ability to balance between understanding the big picture while paying close attention to detail

Job Responsibility

Directs key initiatives within the business through the collection, analysis, review, reporting, documentation and communication of business needs and requirements
Manages resource allocation of work on key projects/initiatives
Deals with complex and highly variable issues with substantial potential business impact
Applies ingenuity and creativity to problem analysis and resolution in complicated and/or novel situations
Acts as an advisor or coach to new or lower-level personnel in the business processes and procedures of the business
Provides in-depth and sophisticated analysis with interpretive thinking to define problems and develop innovative solutions
Influences strategic functional decisions through advice, counsel or provided services that have direct impact on the business
Designs/analyzes complex reports to satisfy management requirements
Uses broad discretion in developing solutions for broad-based business reporting issues
Leads reengineering efforts in business's methodology, strategy, and organizational goals

Fulltime

Markets Data Risk - Senior Analyst - Assistant Vice President

Markets Data Risk team is looking for a Senior Risk Analyst – Assistant Vice Pre...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

5+ years of experience in relevant fields of Market Risk Management, Product Control or product valuation specialist with First Line and/or Second Line experience or in an associated consulting role
Prior experience with designing and monitoring key controls in a markets trading environment with demonstrated understanding of capital market products and risk processes
Strong controls mindset, identifying and mitigating risks, communicating and escalating concerns
Strong problem solving with hands-on analytics data skills
Excellent oral and written technical communications skills with the ability to interact effectively at all levels, develop strong partnerships across the organization, and present complex information clearly to senior stakeholders
Must be proficient with Excel, use of Python, SQL, Tableau, and other digital tools is a plus
Ability to handle complexity, ambiguity and a fast changing, often demanding work environment
Bachelor’s/University degree or equivalent experience, Master degree a plus

Job Responsibility

Implement and operate daily or periodic risk data controls to measure risk KPIs, analyze business metrics, escalate data quality issues in a timely and well-articulated manner, and lead issue remediation
For one or more use cases (e.g. FRTB, SA CCR etc.) – execute specific set of markets data risk controls periodically to calculate business KPIs as well as identify opportunities for control enhancements as per markets business priorities and regulatory requirements
Through application of knowledge of markets products and associated risks, drive continual and incremental risk improvements in control KPIs and effectiveness with ultimate objective to quantify and mitigate data risk for markets business
Use “design mindset” to understand the root cause of DQ issues impacting business and risk KPIs to propose remediation in alignment with end-to-end data flows and target state solutions
Articulate value-add business solutions in collaboration with markets and risk management stakeholders to facilitate decision making process
Support senior leads in regulatory and Internal Audit engagements to identify necessary corrective actions and facilitate remediation, ensuring timely delivery

Fulltime

Senior Emerging Risk Data Analyst

The Emerging Risk team acts as an aggregator of intelligence, analysis, leads, f...

Location

United States , Bay Area

Salary:

108200.00 - 202800.00 USD / Year

Cash App

Expiration Date

Until further notice

Requirements

3+ years of experience writing complex queries in SQL, MySQL, Python, or similar tools
3+ years of experience with Looker, Tableau, or Excel (ability to build dashboards and visualizations)
Experience building databases and ETLs
Certified Fraud Examiner (CFE) or ACAMS certification
Direct experience working in BSA/AML, fraud, or compliance environments, with an understanding of regulatory requirements
Ability to communicate technical findings in clear written reports and executive-level presentations
Experience summarizing data-driven insights for senior stakeholders and influencing decisions

Job Responsibility

Develop and execute data strategies to identify financial crime typologies or support new product rollouts
Write SQL or Python queries to extract and analyze data for investigative reviews
Build and maintain dashboards, metrics, and reporting to track key risks
Synthesize complex analyses into clear narratives, written reports, and presentations for peers, cross-functional partners, and senior management
Present findings and recommendations to leadership, ensuring data-driven insights inform decision-making
Document work and build a knowledge base for the team
Partner closely with Compliance data and analytics teams to ensure alignment

What we offer

Healthcare coverage (Medical, Vision and Dental insurance)
Health Savings Account and Flexible Spending Account
Retirement Plans including company match
Employee Stock Purchase Program
Wellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance
Paid parental and caregiving leave
Paid time off (including 12 paid holidays)
Paid sick leave (1 hour per 26 hours worked (max 80 hours per calendar year to the extent legally permissible) for non-exempt employees and covered by our Flexible Time Off policy for exempt employees)
Learning and Development resources
Paid Life insurance, AD&D, and disability benefits

Fulltime

Senior Business Analyst (Data & Credit Risk)

FinXL IT is seeking a Senior Business Analyst to join our consulting team and be...

Location

Australia , Sydney

Salary:

Not provided

FinXL

Expiration Date

Until further notice

Requirements

Extensive experience as a Senior Business Analyst within large-scale enterprise environments
Deep understanding of Customer Identity and Access Management (CIAM) or Identity security
Familiar with and experience in Credit Risk Management as a Credit Analyst or related position, ideally with a Telco, Bank or Financial Institution
Proven ability to translate regulatory requirements and risk policies into technical specs
Strong technical curiosity and expertise in data-led process design and reporting
Experience in fraud prevention, identity theft mitigation, or customer authentication
Exceptional stakeholder management skills with exposure to Senior Management and Risk
Ability to work across cross-functional teams including Engineering, Sales, and Finance

Job Responsibility

Map complex business requirements for the development and implementation of CIAM programs
Bridge the gap between broad program goals and specialist projects in identity verification
Translate industry regulations and internal policies into actionable project requirements
Develop reporting to monitor controls within end-to-end customer identity processes
Outline necessary controls and build monitoring to identify policy exceptions and gaps
Document requirements to support the unification of authentication across all channels
Partner with senior stakeholders to provide data-driven insights that drive process improvement

What we offer

Hybrid working arrangement to get your best work done! (2-3 days in the office)
Lead high-profile Customer Identity & Access Management (CIAM) programs
Drive data-led process improvements across identity and fraud prevention
Influence senior leadership across Finance, Risk, and Digital divisions

Senior Risk Analyst - Enterprise Risk Management

Support the Enterprise Risk Management team by executing and advancing our ERM c...

Location

Salary:

Not provided

Deel

Expiration Date

Until further notice

Requirements

A minimum of 7 years of experience in risk management, audit, or a related function within financial services, FinTech, or regulated industries
Demonstrated experience with enterprise risk assessments, KRIs, risk registers, and issue remediation
Familiarity with ERM frameworks and global standards
Proficiency with risk and data analytics tools, GRC platforms, and data visualization
Strong analytical, communication, and stakeholder engagement skills
Degree in Finance, Economics, Risk Management, or related field
professional certifications such as CRM, ERM, FRM, PRMIA are preferred

Job Responsibility

Assist in the development, implementation, and embedding of the Enterprise Risk Management Framework (ERMF)
Facilitate enterprise-wide risk assessments, including identification, evaluation, and prioritization of risks across financial, operational, regulatory, and reputational domains
Assist with the development and monitoring of Key Risk Indicators (KRIs)
Support the creation and updating of risk dashboards for senior management and Board-level reporting
Maintain and update the enterprise risk register and control library, ensuring consistent structure and accurate risk ownership
Assist in developing or refining risk policies, procedures, and guidelines in line with industry and global standards
Coordinate follow-up actions for risk assessments, track remediation plans, and support stakeholders through issue resolution and escalation processes
Conduct horizon scanning to identify emerging or evolving risks, including regulatory, strategic, or systemic trends, and contribute to scenario-based risk analysis
Prepare materials—reports, dashboards, risk summaries—for governance forums including Risk Committees and Executive leadership
Assist in executive- and Board-level risk communication, ensuring clarity and data-driven insight

What we offer

Stock grant opportunities dependent on your role, employment status and location
Additional perks and benefits based on your employment status and country
The flexibility of remote work, including optional WeWork access

Fulltime

Senior Data Quality Analyst, Master Data, Procurement Services

As the Senior Data Quality Analyst for Master Data within PG&E’s Procurement Ser...

Location

United States , Oakland

Salary:

98000.00 - 134000.00 USD / Year

PG&E Corporation

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, MIS, Business Analytics, or related field (or equivalent experience)
5+ years of experience in data quality, master data management (MDM), or data governance roles supporting enterprise data functions
Strong understanding of data quality dimensions such as accuracy, completeness, consistency, validity, and timeliness
Demonstrated experience writing and implementing data quality rules, validations, and thresholds
Experience with data profiling, analytics, and quality reporting tools

Job Responsibility

Define, document, and maintain data quality rules, validation checks, and acceptance criteria for procurement of master data elements (e.g., Service Codes, Vendor IDs, contract terms, material attributes)
Develop and implement scalable data quality frameworks that integrate both preventative and detective controls
Collaborate with business SMEs, data stewards, and IT partners to set thresholds, standards, and KPIs for data quality measurement
Design and operationalize data quality dashboards and reports to monitor data health, trends, and compliance against standards
Collect, analyze, and present data quality metrics and insights to leadership and stakeholders, identify patterns, risks, and opportunities for improvement
Track and escalate data issues using structured issue tracking and remediation workflows
Perform regular data profiling, completeness checks, and anomaly detection to validate data quality against business rules and governance standards
Conduct root cause analysis to identify systemic issues and propose corrective actions with process owners and technology teams
Support and enforce data governance policies and master data standards across procurement systems, ensuring alignment to enterprise frameworks
Participate in governance forums and working groups to formalize stewardship roles, responsibilities, and data quality accountability

What we offer

eligible to participate in PG&E’s discretionary incentive compensation programs

Fulltime

Data Engineering Senior Lead Analyst - Senior Vice President

The Data Engineering Senior Lead Analyst (Data Analytics Sr Lead Analyst - C14) ...

Location

Canada , Mississauga

Salary:

145100.00 - 217700.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

10+ years of hands-on professional software engineering experience, including designing and delivering distributed systems, microservices, and full-stack applications in complex enterprise environments
Proficiency in programming in Python, JavaScript/TypeScript (React or Angular) is mandatory
Experience of using cloud services such as AWS and distributed systems such as Kubernetes, Kafka, S3, Databases like DynamoDB, MongoDB or any other NoSQL database in addition to classical RDBMS such as PostgreSQL, Oracle etc
Experience of following TDD and passionate about clean code principles
Solid understanding of GenAI principles and architectures, coupled with proficiency in frameworks and libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers) and MLOps practices for managing the lifecycle of GenAI solutions
Strong background in GenAI, including working with LLMs, Google Gemini, and vector databases (e.g. pg_vector)
experience in designing retrieval-augmented solutions is highly preferred
Solid understanding and experience of using data structures, algorithms and SQL
Able to independently work in fast paced and rapidly changing environment
Product Management Skills: Business Acumen / Roadmaps / Prioritization: Ability to collaborate with multiple stakeholders across the organization is vital. You must be able to connect technical decisions to business outcomes. This includes understanding your product's P&L, customer acquisition costs, and lifetime value. You should be adept at creating outcome-oriented roadmaps that align with business objectives, not just a list of features. This involves using sophisticated prioritization frameworks to justify your decisions with data and strategic reasoning

Job Responsibility

Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis
Mines and analyzes data from various banking platforms to drive optimization and improve data quality
Deliver analytics initiatives to address business problems with the ability to identify data required, assess time & effort required and establish a project plan
Consults with business clients to determine system functional specifications
Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business objectives
Consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards
recommends solutions
Leads system change process from requirements through implementation
provides user and operational support of application to business users
Formulates and defines systems scope and goals for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards

Fulltime

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Senior Data Analyst - Risk

Job Description

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