Your tasks will include:

• Developing, further developing, and implementing training and learning formats - from professional qualification to AI-based learning to agile methods such as SAFe.
• Creating and optimizing communication materials (intranet updates, newsletters, presentations) and preparing relevant L&D trends for the team.
• Working on analysis and reporting topics, such as training usage or KPI dashboards, and supporting data-based decisions in the PE.
• Working on various PE projects, preparing meetings, appointments, and documents - including close cooperation with trainers and efficient SharePoint management.

To be well-prepared for your path as a work-study student at MHP, you should have the following qualifications:

• Study in economics, educational science, adult education, vocational and business education, technical pedagogy, or economic psychology or a comparable course of study.
• Passion for the further development of employees through training and digital learning formats, as well as for preparing content in a way that is understandable, appealing, and tailored to the target group. We also appreciate your curiosity about deriving insights from numbers and making the PE more effective.
• Knowledge or first experiences in the HR field, particularly in personnel development, and a secure handling of MS Office 365.
• Your working style is characterized by a high level of self-responsibility, a structured approach, creative thinking, and a strong team spirit.

Important information before departure:

• Valid matriculation at a university
• Start: 01.07.2026
• Duration: 6 months
• Part-time (max. 20 hours/week)
• Corporate Functions
• Secure German and English

XML job scraping automation by YubHub

The Senior Tax Counsel & Head of Tax Controversy (U.S.) is responsible for leading North America on complex tax legal issues. This position works with senior management and business unit leaders in North America and Global HQ to provide strategic tax law counselling on ongoing, new and evolving business transactions, while managing tax law risk and enabling opportunities from operations subject to many legal jurisdictions.

Key Accountabilities

• Provide strategic tax counsel to senior leadership and business units on complex U.S. federal, state, and international tax matters, enabling business growth while managing legal and financial risk across evolving transactions and operating models.
• Lead the Federal & State Tax Audit, Controversy, and Planning function, overseeing high-impact audits, disputes, appeals, and litigation with tax authorities, and driving optimal outcomes through strong advocacy and technical judgment.
• Partner closely with global and regional stakeholders, including Global HQ, Finance, Legal, Government Relations, and external advisors, to align tax strategy with business objectives, market dynamics, and regulatory developments.
• Assess, quantify, and manage significant tax risks, including advising on tax positions, confidence levels, and methodologies for accurate financial statement reporting, reserves, and SOX controls.
• Develop and execute forward-looking tax strategies, balancing compliance, cash flow, effective tax rate, and reputational considerations while supporting new and evolving business initiatives.
• Represent the company before tax authorities and auditors, leading negotiations, alternative dispute resolution, and litigation strategies from initial challenge through final resolution.
• Build, lead, and develop a high-performing team, providing coaching, oversight, and growth opportunities while managing departmental resources, systems, and processes.
• Monitor legislative, regulatory, and policy developments, proactively advising leadership on potential impacts and advocating positions that protect the company's long-term interests.

Qualifications, Experience, and Skills

• J.D. from an ABA accredited law school
• LLM in taxation or equivalent experience
• 10+ years tax experience in law firm or tax department of a Fortune 500 company
• Strong written and verbal communication skills
• Flexibility and adaptability
• Maturity and judgment

Job Dimensions

• No. of Direct Reports - 4
• No. of Indirect Reports
• Financial Dimensions - $2.5 million in budget. Key responsibility for tax exposures/controversies and tax planning with impacts in excess of $5 billion.

Decisions Expected

• Develop and recommend tax approaches to business transactions that align with compliance requirements, cashflow and effective rate objectives, while supporting market dynamics and business objectives.
• Recommend and execute controversy approach that maximizes likelihood of success while building relationships and considering reputational risk.
• Department associate preparedness for stretch assignments and development needs to advance department associates competencies and careers.

Working Conditions

• Teleconferences outside of regular working hours due to time zone differences
• Ability to respond to complex requests quickly, and work outside of regular business hours during work load peaks due to transaction, compliance or controversy deadlines
• Hybrid - 80% onsite / 20% remote
• 10% Travel

Total Rewards

• Competitive Base Salary
• Regional Bonus
• Manager Lease Car Program
• Industry-leading Benefit Plans
• Paid time off, including vacation, holidays, shutdown
• Company Paid Short-Term and Long-Term Disability
• 401K Plan with company match + additional contribution
• Relocation assistance (if eligible)

Career Growth

• Advancement Opportunities
• Career Mobility
• Education Reimbursement for Continued Learning
• Training and Development Programs

Additional Offerings

• Lifestyle Account
• Childcare Reimbursement Account
• Elder Care Support
• Tuition Assistance & Student Loan Repayment
• Wellbeing Program
• Community Service and Engagement Programs
• Product Programs

XML job scraping automation by YubHub

You will develop and iterate on account signals and prevention frameworks that consolidate internal and external data into actionable abuse indicators.

You will develop and optimize identity and account-linking signals using graph-based data infrastructure to detect coordinated and scaled account abuse.

You will evaluate, integrate, and operationalize third-party vendor signals , assessing whether new data sources provide genuine lift in detection.

You will expand internal account signals with new data sources and behavioural indicators to improve detection coverage.

You will build and maintain processes that evaluate new product launches for scaled abuse risks, working closely with product teams to ensure enforcement readiness.

You will operationalize and iterate on enforcement tooling , including appeals workflows, review processes, and user communications , to maintain quality and scale with growing volume.

You will analyse enforcement performance through operational metrics, partnering with the team to keep detection accurate as abuse patterns evolve.

You will manage payment fraud and dispute operations to protect revenue and maintain our standing with payment partners.

You will coordinate enforcement efforts for policy compliance gaps across products, working with relevant teams to build scalable review processes.

You will collaborate with cross-functional teams (Engineering, Product, Legal, Data Science) to surface new signals and translate detection capabilities into enforcement workflows.

You will maintain detailed documentation of signal development, enforcement processes, and operational decisions.

This role requires 2+ years of experience in risk scoring, fraud detection, trust and safety, or policy enforcement.

You should have hands-on experience building detection systems, risk models, or enforcement processes and workflows.

You should have experience evaluating and integrating third-party data sources into detection or scoring pipelines.

You should have strong SQL and Python skills , this role involves heavy data analysis across complex, multi-table data relationships.

You should have familiarity with identity signals such as device fingerprinting, account linking, or entity resolution, or experience with appeals processes and customer-facing enforcement communications.

You should have demonstrated ability to analyse complex data problems and translate findings into actionable improvements.

You should have strong written and verbal communication skills , ability to explain technical tradeoffs and navigate cross-functional stakeholder conversations.

Equivalent practical experience or a Bachelor's degree in Computer Science, Data Science, or related field is required.

This role offers an annual salary range of $230,000-$310,000 USD.

XML job scraping automation by YubHub

Anthropic is an AI safety and research company working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and society as a whole. As a Safeguards Analyst focusing on Account Abuse, you will play a critical role in building and scaling the detection, enforcement, and operational capabilities that protect our platform against scaled abuse.

Responsibilities:

• Develop and iterate on account signals and prevention frameworks that consolidate internal and external data into actionable abuse indicators
• Develop and optimize identity and account-linking signals using graph-based data infrastructure to detect coordinated and scaled account abuse
• Evaluate, integrate, and operationalize third-party vendor signals — assessing whether new data sources provide genuine lift in detection
• Expand internal account signals with new data sources and behavioural indicators to improve detection coverage
• Build and maintain processes that evaluate new product launches for scaled abuse risks, working closely with product teams to ensure enforcement readiness
• Operationalize and iterate on enforcement tooling — including appeals workflows, review processes, and user communications — to maintain quality and scale with growing volume
• Analyze enforcement performance through operational metrics, partnering with the team to keep detection accurate as abuse patterns evolve
• Manage payment fraud and dispute operations to protect revenue and maintain our standing with payment partners
• Coordinate enforcement efforts for policy compliance gaps across products, working with relevant teams to build scalable review processes
• Collaborate with cross-functional teams (Engineering, Product, Legal, Data Science) to surface new signals and translate detection capabilities into enforcement workflows
• Maintain detailed documentation of signal development, enforcement processes, and operational decisions

Qualifications:

• 2+ years of experience in risk scoring, fraud detection, trust and safety, or policy enforcement
• Hands-on experience building detection systems, risk models, or enforcement processes and workflows
• Experience evaluating and integrating third-party data sources into detection or scoring pipelines
• Strong SQL and Python skills — this role involves heavy data analysis across complex, multi-table data relationships
• Familiarity with identity signals such as device fingerprinting, account linking, or entity resolution, or experience with appeals processes and customer-facing enforcement communications
• Demonstrated ability to analyze complex data problems and translate findings into actionable improvements
• Strong written and verbal communication skills — ability to explain technical tradeoffs and navigate cross-functional stakeholder conversations
• Equivalent practical experience or a Bachelor's degree in Computer Science, Data Science, or related field

You might be a good fit if you:

• Have built risk scores, detection systems, signal pipelines, or enforcement processes in a previous role — identity verification, trust and safety, or similar
• Are comfortable working with ambiguous, noisy data and extracting meaningful signal
• Think critically about signal quality and enforcement performance — evaluating whether new detection signals or processes meaningfully improve outcomes
• Have experience with graph-based data, account-linking problems, or cross-functional process design
• Are proactive about identifying gaps in existing detection or enforcement and proposing new approaches
• Have experience leveraging generative AI tools to support analytical, detection, or enforcement workflows
• Can balance deep analytical work with cross-functional collaboration and stakeholder coordination
• Have a background or interest in cybersecurity or threat intelligence (a plus, not a requirement)

Logistics

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

XML job scraping automation by YubHub