Title: Market Data Team Lead Location: London, England, United Kingdom Hybrid Job Description: About BMLL: BMLL is the leading independent provider of harmonised Level 3, 2 and 1 historical data and analytics across global equities, ETFs, futures and US equity options. We provide market participants with immediate access to granular T+1 order book data and advanced analytics, enabling them to accelerate research, optimise trading strategies, and better understand market behaviour. BMLL was acquired in 2025 by Nordic Capital, alongside minority shareholder Optiver, marking a joint commitment to accelerate the company’s next phase of growth. We offer an inclusive and collaborative culture, a hybrid working environment that includes regular days in our London office, weekly team lunches, and a variety of out-of-hours social activities. About the Role: At BMLL we process financial data in a process we call parsing. We continually add new financial datasets to our platform whilst upgrading and improving existing ones. Parsing occurs in well defined data pipelines built using a distributed architecture. The engineering of the pipeline is as important as the data transformation process, and we are constantly working to improve its performance and reliability. We curate the data to ensure the highest quality of delivery to our customers. Every day we consume over 1TB of new data across 750,000 securities to deliver into our platform, our dashboard products and data services. These are accessed by our customers who are dependent on our services for their own workflows. We are in the process of a major technology migration, moving our core data pipelines from generating HDF5 files into generating Delta Tables. This will improve efficiency, ensure future scalability and modernise the architecture. We are looking for an experienced lead to head up a small team (currently 4) in this migration project, and in future architectural and infrastructural changes to our systems, such as performance improvements: performance really matters as we process terabytes of data per day, and need to get it in front of our customers as early as possible. The role will involve an amount of hands-on development work, in C++ with some Python, organising developers in Agile sprints, and leading scrums as we work through the migration. Planning is a key aspect, both at the sprint level and at the quarterly level alongside the Lead Architect, CTO and Product Team. Within the team, a key focus is helping to unblock developers by working with other teams and providing guidance and technical expertise. You should expect to spend approximately 50% of your time in hands-on development, and 50% in team management. You will work closely with the Equities and Derivatives market data teams who build the parsers, and the Data Feed team who get our data out to customers. This is an opportunity to join a cutting-edge FinTech company with the potential to grow your technical, finance and cloud- & data-engineering skills. Responsibilities - Technical leadership and management of the delta lake migration team, organising work into 2-week sprints, upwards reporting on progress and blockers. - Development, testing and migration of some of the Delta Lake components. - Quarterly planning with the Lead Architect, CTO and Product Team. - In time, line management of a small number of developers - Understanding the data, how it reaches BMLL, how we process it and deliver it to customers - In time, some second-line support of the daily data production processes and the data, shared amongst the data production teams on a rotational basis. Requirements Essential: - Demonstrated ability to lead a small team of developers in an Agile environment - Demonstrated ability to work with other teams to achieve business outcomes - Experience of working with Delta Lake or other open table formats - Industry experience of writing production-level C++ and delivering functioning, well-tested systems. - Industry experience of developing on a Linux platform - Experience of industry-standard development methodologies such as source code control, unit testing and continuous integration - Ability to self-organise and deliver complex projects - Strong problem solving skills - Strong communication skills - Computer science or other STEM degree Benefits - Competitive salary - 25 days holiday plus bank holidays - Discretionary Bonus - Pension Scheme - Private Medical Insurance - Work remotely abroad for up to 40 business days each year - Life Insurance - Childcare Nursery Scheme - Combination of remote and London-based office working, with 2 days in the office per week. - A yearly Well-being Physical Activity budget - Continuous learning through funded training and challenging projects - Collaborative culture - Weekly team lunches - Free Fruit, snacks, and drinks provided throughout the day (When office-based) - Regular Team Socials - Cycle to Work Scheme

Title: Science Tutor Location: Brooklyn, New York Work Type: Onsite, Part Time Job ID: JR194 Job Description: Thank you for considering a career with the Research Foundation of The City University of New York (RFCUNY)! We are thrilled that you are interested in exploring opportunities to join our team. Primary Location: MEDGAR EVERS COLLEGE Bargaining Unit: No We are seeking a passionate and knowledgeable Science Tutor to support high school students in mastering key scientific concepts and improving academic performance. The ideal candidate will inspire curiosity, encourage critical thinking, and provide individualized instruction in subjects such as Biology, Chemistry, Physics, Environmental Science, and other Science Subjects. - Provide one-on-one and/or small group tutoring to high school students - Develop and implement engaging lesson plans tailored to each student's learning style and goals - Review and explain scientific concepts, lab work, and problem-solving techniques - Help students prepare for classroom exams, standardized tests (e.g., SAT, ACT, AP), and school projects - Monitor student progress and communicate regularly with parents, teachers, or academic coordinators - Foster a supportive and motivating learning environment - Facilitate Liberty Partnerships Program Assessments and other LPP tasks as needed - Other duties as assigned Qualifications - High School Degree - Some College Preferred - Experience working with students preferred - Experience with one of the Science-related fields (Biology, Chemistry, Physics, Environmental Science, etc.). - Prior experience teaching or tutoring high school students preferred - Strong communication, organizational, and interpersonal skills - Ability to explain complex concepts in a clear and engaging way - Patience, enthusiasm, and a genuine interest in helping students succeed Preferred skills: - Experience with New York City High School Science curricula - Familiarity with virtual tutoring platforms (Zoom, Google Meet, etc.) Pay Range: $17.00 - $17.00/hour Equal Employment Opportunity Statement The Research Foundation of the City University of New York is an Equal Opportunity/Affirmative Action/Americans with Disabilities Act/E-Verify Employer. It is the policy of the Research Foundation of CUNY to provide equal employment opportunities free of discrimination based on race, color, age, religion, sex, pregnancy, childbirth, national origin, disability, marital status, veteran status, sexual orientation, gender identity, genetic information, marital status, domestic violence victim status, arrest record, criminal conviction history, or any other protected characteristic under applicable law.

• Analyze large datasets to uncover trends, patterns, and insights that drive strategic business decisions. • Develop and refine predictive models for customer segmentation, pricing optimization, and demand forecasting. • Provide actionable data insights to support targeted marketing campaigns, customer retention strategies, and personalized communication. • Partner with product, marketing, and customer experience teams to uncover opportunities for conversion and retention improvement. • Apply advanced statistical methods and machine learning techniques to solve complex business problems and improve operational efficiency. • Collaborate with data engineering to ensure data quality, consistency, and scalability across systems. • Document methodologies and communicate findings clearly to both technical and non-technical stakeholders. • Contribute to fostering a data-driven culture by sharing insights, tools, and best practices across teams.

Role Description As a Marketing Data Scientist at Zicasso, you will have the opportunity to leverage your expertise in data analysis and modeling to extract valuable insights that will drive the company's strategic decision-making. You will work closely with cross-functional teams to develop and implement data-driven solutions that improve operations, enhance customer experiences, and optimize business performance. There is flexibility in your work hours but we expect that you will generally maximize your overlap with California hours. The work will all be conducted in English. Key Responsibilities - Analyze large datasets to uncover trends, patterns, and insights that drive strategic business decisions. - Develop and refine predictive models for customer segmentation, pricing optimization, and demand forecasting. - Provide actionable data insights to support targeted marketing campaigns, customer retention strategies, and personalized communication. - Partner with product, marketing, and customer experience teams to uncover opportunities for conversion and retention improvement. - Apply advanced statistical methods and machine learning techniques to solve complex business problems and improve operational efficiency. - Collaborate with data engineering to ensure data quality, consistency, and scalability across systems. - Document methodologies and communicate findings clearly to both technical and non-technical stakeholders. - Contribute to fostering a data-driven culture by sharing insights, tools, and best practices across teams. Qualifications - Bachelor's degree in Statistics, Mathematics, Computer Science, or a related field. Master or Ph.D. preferred. - Proven experience as a Data Scientist in a fast-paced and data-driven environment. - Expertise in statistical analysis, machine learning, and predictive modeling techniques. - Proficiency in programming languages such as Python or R. - Strong SQL skills and experience working with large-scale datasets. - Experience with data visualization tools such as Tableau or Power BI. - Excellent problem-solving skills and ability to translate business requirements into analytical solutions. - Strong communication skills and ability to present complex findings to both technical and non-technical stakeholders. - Ability to thrive in a fully remote environment, working independently while maintaining close collaboration with cross-functional teams. - Minimum of 3 years of experience embedded within or consulting for a marketing department. - Ability to translate complex statistical findings into actionable insights for non-technical stakeholders. - Deep technical expertise in navigating and extracting data from the Google ecosystem (Google Ads, GA4, and Search Console). - Proven track record of using BigQuery to join disparate marketing datasets for cross-channel analysis and attribution modeling. Benefits - Remote work from your home base and flexible hours that allow you to enjoy a great work-life balance. - Innovative, fast-paced and collaborative culture that values diverse voices and opinions. - Competitive compensation and benefits package (medical, dental, vision). - Open Paid Time Off policy and 10 days of company-paid holidays. - Stock options package. - 401K retirement plan with employer matching. - Substantially discounted luxury travel during off-season. - Learning and development annual stipend. - Enjoy two company-sponsored business trips each year at international destinations we serve!