Our Data Science and Analytics team seeks to empower R&D to make data-backed decisions that accelerate innovation and improve product performance. You will work closely within our team and across Product & Engineering to design and maintain a robust analytics data layer that enables trusted reporting on R&D metrics.

In this role, you'll:

• Design and implement a formal analytics data layer using AWS Glue, Presto, and LookML
• Collaborate within the Data Science & Analytics team and across Product & Engineering to define, document, and maintain alignment on metric definition and data lineage
• Develop and maintain automated data reconciliation and quality checks to proactively identify and resolve discrepancies, ensuring accuracy and consistency of critical reports and dashboards
• Lead investigations into complex data anomalies, conduct root cause analysis, and communicate findings and solutions effectively to both technical and non-technical audiences
• Mentor and guide members of the data science and analytics team, establishing and enforcing best practices around data modeling, testing, documentation, and code review

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply.

If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

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This may include understanding and documenting the applicable regulatory reporting requirements in the region, implementing systems and processes for comprehensively tracking those requirements for each of Stripe's North American entities, maintaining the end-to-end processes for the collation of data, production of reports, and continuously monitoring compliance to meet the expectations of Stripe's regulators.

You will need to be comfortable straddling both the technology and financial services worlds every day, enjoying the puzzle of dealing with that and seeking creative solutions and moving quickly, often in the face of ambiguity.

Responsibilities:

• Own end-to-end U.S. regulatory reporting program for digital assets including stablecoin related financial activities, including defining reporting scope, governance, timelines, and accountability across required regulatory filings.
• Interpret U.S. regulatory reporting requirements applicable to stablecoins, digital assets, payments, and custody, and translate them into clear reporting specifications, data definitions, and execution plans in partnership with Legal and Compliance.
• Manage the full regulatory reporting lifecycle, from data sourcing and aggregation through validation, internal review, sign-off, and timely submission to regulators.
• Ensure regulatory reports accurately reflect stablecoin-specific activities and risks, including issuance, redemption, circulation, reserves, custody arrangements, and transaction flows across on-chain and off-chain systems.
• Design and maintain a robust regulatory reporting control framework, including data quality checks, reconciliations, documentation, and issue remediation to support audit and exam readiness.
• Partner with Engineering, Data, Finance, Compliance and Legal to improve data lineage, transparency, and automation across regulatory reporting processes as the business scales.
• Own regulatory reporting change management, including assessing the impact of new or evolving stablecoin regulations, product launches, and system changes on reporting scope, data requirements, and controls.
• Develop and maintain regulator-ready documentation, including reporting methodologies, assumptions, data lineage, and process documentation to support supervisory reviews and examinations.
• Serve as the primary point of contact for regulatory reporting matters during U.S. regulatory exams, audits, and regulatory inquiries.

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The Senior Data Management Analyst ensures accurate and compliant data reporting by translating regulatory requirements into internal reports, developing and maintaining reporting tools, and collaborating with stakeholders to address data needs and improve data processes.

Responsibilities

Reviews Regulatory requirements (Statutory Plans) & translates to internal data reporting requirements. Develops and prepares new reports and applications using multiple sources of information. Evaluates information being reported for consistency, completeness, accuracy, and reasonableness. Maintains and provides support for existing tools and applications used in the analysis of information. Communicates with actuaries, accountants, product managers, and IT counterparts regarding data and business requirements for new reports or applications. Prepares internal and external correspondence related to the development and understanding of information. Conducts research into proposed solutions for data quality issues and the development of new reports or applications. Implements process efficiencies and automations. Assists in the cross-training and development of other professional personnel as assigned.

Requirements

Work Experience in This Field: Minimum Required: 1-3 years Preferred: 4-6 years Insurance Background - must Data Reporting strongly preferred

English Proficiency: Minimum Required: Fluent

Required Education: Minimum Required: Bachelor’s Degree

Required Branches of Study: Information Technology Business

Additional Preferred Branches of Study: Accounting/Audit/Finance Actuary/Math Insurance Data Management

Other Critical Skills: Data Quality Checks and Balances +2 Years Data Analysis and Trending +3 Years Project Management: Entry Level Reporting Automation +2 Years Strong Analytical Skills Advanced communication and collaboration skills

Software / Tool Skills: Excel +3 years SQL +3 years SAS EG: Entry Level (1-3 years) PowerPoint +2 years Power BI +2 years Phyton +2 years

Benefits

This position comes with a competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package
3. Career development and training opportunities
4. Flexible work arrangements (remote and/or office-based)
5. Dynamic and inclusive work culture within a globally renowned group
6. Private Health Insurance
7. Pension Plan
8. Paid Time Off
9. Training & Development

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Microsoft AI are looking for a talented Applied Scientist II at their Bengaluru office. This role sits at the heart of developing cutting-edge large-scale AI services that can power the next-gen AI search. You'll work directly with the team to shape the company's direction in AI search and development.

About the Role

As an Applied Scientist II, you will be responsible for developing novel machine learning and data mining algorithms, designing and developing solutions that respond in real time, and building data quality checks and re-usable modules for the training. You will also host ML models with production-ready code, design and execute offline/online experiments, and advance the state of the art of NLP technologies for real-world scenarios.

Accountabilities

• Developing novel machine learning and data mining algorithms
• Designing and developing solutions that respond in real time

The Candidate we're looking for

Experience:

• Master's/PhD degree in CS/EE or related fields with knowledge in NLP, Machine Learning and Data Mining

Technical skills:

• Strong research and/or development experience with machine learning, NLP and data mining

Personal attributes:

• Excellent scientific thinking and execution
• Ability to drive efficient experiment definition and investigations

Benefits

• Competitive salary and benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment

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