Development and implementation of credit risk mitigation strategies, including collateral management, loan restructuring, and workout plans. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. It is a fantastic opportunity to be part of the Data Governance workstream of this project and ensure that the required deliverables are designed and executed to the highest level, ensuring strong data quality control design, end-to-end lineage flows, and comprehensive metadata identification and classification is managed (amongst other activities). Data Compliance Knowledge: Familiarity with regulatory standards Project Experience: Understanding of project workflows and dynamics.

TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. We are looking for passionate and talented people to join our product and operations team, to build an e-commerce ecosystem that is innovative, secure and intuitive for our users and brands. Cooperate with Products and ETL teams to define system requirements, build data products, improve and roll-out product features to support business. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach.

TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. We are looking for passionate and talented people to join our product and operations team, to build an e-commerce ecosystem that is innovative, secure and intuitive for our users and brands. About the Team The Data Science team is a global, full-stack data team that plays an important role in empowering and driving the growth of TikTok Shop. As a Senior Data Analyst focusing, you will have the opportunity to collaborate closely with a variety of teams within the commerce business, including product, operation, marketing, and other teams. ; - Follow up the data analysis of regional operation teams in several overseas markets, support the operation effect and give follow-up optimization suggestions; - Cooperate with PM / Ops team / R&D, promote the implementation of optimization scheme, and bring about the actual improvement and growth of the business. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach.

The aim of the Data Reporting & Analysis team is to ensure that excellent service, quality and value for money is delivered through the delivery of high-quality data organised to describe the customer experience and cost to serve. Experience of identifying and mitigating data quality issues ensuring the accuracy and validity of our data.

Many of our employees work flexibly in a variety of different ways, including part-time, flexible hours, job share, an element of working from home or compressed hours. Strong data analysis skills: Ability to understand, visualise, and trend large datasets to formulate evidence-based hypotheses and communicate findings to stakeholders. Data Science/Predictive Modelling: Skilled in using techniques to model past data for future predictions and understanding drivers of trends and patterns. Ability to present data and communicate complex technical concepts clearly to non-technical audiences. Prior experience working as part of a data team. We've made a promise to each other and every employee; to focus on sustainable impact, to care about each other's wellbeing, to use our diverse expertise to be curious and optimistic and to develop the skills needed for our future.

We combine data and context to paint the whole picture for our clients, around the clock - from around the world. As a Data Management Professional on the Corporate Bonds, Data Modeling and Calculations Team, you will leverage your domain expertise to manage and enhance the financial data that feeds Bloomberg products, identify innovative workflow efficiencies, implement technical solutions to enhance our systems, products and processes, and establish links with key players in the financial market! Coding and/or querying knowledge, I. We'll get in touch to let you know what the next steps are.

These individuals act as proactive technical leaders by setting the framework in achieving quality and consistency in the evaluation and training datasets for models that power our AI-enhanced products, and delivering scalable governance in annotation program management across Bloomberg Data. Applies technical ability to direct a comprehensive and outcome driven data strategy for a given AI project in the context of the annotation datasets Establishes and applies product thinking to data to provide the right capabilities to consumers at the right time Functions as a central resource with other Bloomberg functions (e. We'll get in touch to let you know what the next steps are!

Collaborating closely with the Lead Data Scientist, the role focuses on generating actionable insights, improving reports, and contributing to analytical and machine learning initiatives. Machine Learning Support: Assist in the development and implementation of machine learning models and algorithms. Strong analytical and problem-solving skills, with an emphasis on practical solutions and clear reporting. Join our expert team in survey design, sampling methodologies, and data science, we leverage cutting-edge technology to provide our clients with seamless access to real people and unparalleled insights. Profiles currently holds a 10% share in the $3b panel industry but we have ambition, a robust 3-year business plan and the financial backing of our private equity owners (Bain Capital) to grow to be the #1 player in this sector. We're dedicated to creating an inclusive culture and value the diversity of our people, clients, suppliers and communities, and we encourage applications from all backgrounds and sections of society.

As the Data Analyst for Knowledge which includes History Extra and Gardeners World brands, you will play a vital part in contributing to their strategies in respect to analysis and insight generation, BAU reporting as well as helping to deliver the Data & Analytics Team vision. Recommend data-driven actions to enhance user engagement, retention and increase registrations & subscriptions Push the business forward up the analytics maturity curve by innovating new ways to analyse, model and predict behaviour. Our offices will be closed between Christmas and New Year's which are in addition to your annual entitlement Tailored training and development through our Love Learning platform A progressive and transparent culture with clear career progression Flexible / hybrid working plus early finish Fridays Cycle to work scheme Enhanced Family Policies including paternity, adoption and surrogacy leave. People are at the heart of our business and creating a diverse and inclusive working environment is extremely important to us.

You'll work closely with Brand MDs, Editorial Directors, and stakeholders in Product & Tech to analyse audience behaviour, content types, product features, and user journeys on our web and app platforms. Ability to work effectively across multiple teams and senior stakeholders. Our offices will be closed between Christmas and New Year's which are in addition to your annual entitlement Tailored training and development through our Love Learning platform A progressive and transparent culture with clear career progression Flexible / hybrid working plus early finish Fridays Cycle to work scheme Enhanced Family Policies including paternity, adoption and surrogacy leave. People are at the heart of our business and creating a diverse and inclusive working environment is extremely important to us.