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Test Analyst (Salesforce/ GDPR) Role: Test Analyst - GDPR and Salesforce Experience Job Type: (Hybrid) 4 days at home, 1 day in the office. Job Location: London Rate: £200-£300 Per/Day (Depending on experience) Duration: 3 Months (with likelihood of extension) **Key Responsibilities:** Test Planning & Execution: - Develop, execute, and maintain comprehensive test plans, test cases, and test scripts for Salesforce applications and related systems. - Perform functional, regression, performance, and usability testing to identify defects and ensure quality. GDPR Compliance Testing: - Validate that systems correctly capture, store, and manage user consents in line with GDPR requirements. - Ensure mechanisms are in place for users to easily opt-in/opt-out, request data access, or invoke the right to be forgotten. - Test the implementation of lawful bases for data processing, such as consent and legitimate interest, within the CRM. Salesforce-Specific Testing: - Verify the correct functioning of Salesforce's 'Individual' object and related consent fields (e.g., 'Don’t Market', 'Don’t Track') . - Test integrations between Salesforce and marketing platforms like Marketing Cloud or Pardot, focusing on consent and preference data flow . Collaboration & Reporting: - Work closely with developers, business analysts, and stakeholders to understand requirements and resolve issues. - Document test results, report defects, and track defect resolution throughout the development lifecycle. Required Qualifications: - Proven experience as a Test Analyst or in a similar role, with a focus on CRM systems. - In-depth understanding of GDPR, especially concerning marketing preferences and consent management. - Hands-on experience with Salesforce, including knowledge of objects related to data privacy and consent. - Familiarity with Salesforce's Preference Manager and Consent Templates . - Proficiency in manual and automated testing tools relevant to Salesforce applications. - Strong analytical and problem-solving skills. - Excellent communication and collaboration abilities. Preferred Qualifications: - Experience with Salesforce Marketing Cloud, Pardot, or similar marketing automation platforms. - Understanding of data processing agreements and third-party data integrations. - Knowledge of data anonymization and encryption techniques in line with GDPR . - Familiarity with data subject rights management processes, such as data access requests and data portability . What We Offer: - Competitive day rate of £200-£300/ per day - Opportunities for professional development and certifications. - A collaborative and inclusive work environment. - Flexible working arrangements to support work-life balance. Application Process: Interested candidates are invited to submit their CV and a cover letter detailing their relevant experience and motivations for applying. Shortlisted candidates will be contacted for an interview. ​ Schedule: Monday to Friday Experience: Salesforce: 3 years (required) GDPR - Marketing Preference: 3 years (required) Agile: 2 years (required) Work Location: Hybrid remote in London EC1V 7RQ Reference ID: Test Analyst (Salesforce/ GDPR) Expected start date: 09/06/2025

Job Title: Research Assistant (Remote) Company: Valutrades Location: Remote Job Type: [Full-time/Part-time/Contract] Department: Research & Strategy About Valutrades: Valutrades is a global financial services provider committed to empowering traders with the tools, knowledge, and insights they need to succeed. Our mission is to deliver a premium trading experience rooted in transparency, reliability, and continuous innovation. We're looking for a Research Assistant with hands-on trading experience through Valutrades to support our research and strategy team remotely. Position Overview: We are seeking a detail-oriented and analytical Research Assistant who has an active or past trading history with Valutrades. This remote role involves supporting the research team with market analysis, data collection, and strategic insights that help enhance trading strategies and inform business decisions. Key Responsibilities: - Conduct research and analysis on financial markets, trading instruments, and macroeconomic trends. - Analyze past and current trading data, particularly your own trading experience with Valutrades, to support strategy development. - Create and maintain research reports, dashboards, and internal documentation. - Support the development and testing of new trading strategies based on market trends and performance metrics. - Assist in preparing presentations and reports for internal and external stakeholders. - Monitor financial news and events that may impact markets and summarize key insights. - Collaborate remotely with analysts, traders, and management on research initiatives. - Requirements: - Proven trading history with Valutrades (account history will be used to confirm). - Solid understanding of trading platforms, instruments, and technical/fundamental analysis. - Excellent research and analytical skills with a keen attention to detail. - Ability to interpret and work with large sets of data. - Strong communication skills, both written and verbal. - Self-motivated and able to work independently in a remote setting. - Proficiency in Microsoft Excel, Google Sheets, or similar tools; knowledge of trading platforms and indicators is a plus. - Experience with data analysis tools or programming languages (Python, R, etc.) is advantageous but not required. - Preferred Qualifications: - Background in Finance, Economics, Mathematics, or a related field. - Familiarity with economic indicators, risk management principles, and backtesting methods. - Previous experience in a research or trading support role. - What We Offer: - Flexible remote working arrangement. - Competitive compensation based on experience and contribution. - Opportunity to influence research directions and contribute to strategic trading decisions. - Access to ongoing professional development and market education resources.

How about using your talent to save a life? In Lynxight we literally save lives by equipping pool lifeguards with an AI-based companion that's revolutionizing water safety. Our innovative technology enhances lifeguards’ response times and provides pool management with crucial operational insights, setting high standards in the aquatic leisure industry. With a growing global presence across renowned fitness, leisure, and hospitality sectors, and strategic partnerships aimed at advancing water safety, Lynxight is at the forefront of technological breakthroughs. Are you up for the challenge? Location: Remote (UK) Department: Operations / Customer Success Employment Type: Full-Time (day rate) About Lynxight Lynxight is a cutting-edge technology company specializing in AI-powered video analytics for aquatic environments. Our mission is to create safer, smarter, and more responsive aquatic facilities through intelligent surveillance systems and actionable data insights. We partner with public and private institutions globally to elevate safety standards and operational efficiency. Role Overview We are seeking a highly motivated and technically skilled Technical Support Engineer to join our growing team. As the first point of contact for our UK clients, you will be instrumental in diagnosing and resolving technical issues, supporting the smooth implementation of projects, and maintaining the high standards of customer satisfaction Lynxight is known for. This role requires a proactive and solution-oriented mindset, a self-starter with excellent communication skills, and the ability to troubleshoot complex hardware-software systems in real time. Key Responsibilities · Play a crucial role in delivering hundreds of parallel implementations for a diverse range of customers. · Support the remote technical teams to diagnose, troubleshoot, and resolve technical issues with existing sites and those in the project delivery phase. · Act as the primary technical in-person liaison for UK-based clients and partners. · Develop the technical skills required to deputise for the implementation engineers as required. · Support customers through system setup, calibration, and routine maintenance procedures as required. · Participate in the development of support and implementation best practices and knowledge base content. · Directly reporting to the Head of UK Customer Operations. Qualifications / skills · 2+ years of experience in technical support, IT, or a related technical customer service role. · Strong technical background in IT, with knowledge of hardware, software, and networking. · Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field (preferred). Equivalent experience and qualifications would be considered. · Proficiency with Windows/Linux operating systems and command-line tools · Excellent problem-solving and analytical skills. · Customer-focused attitude with a commitment to providing exceptional service. · Self-motivated with the ability to work independently and manage multiple priorities. · Ability to travel frequently and work on the road, including overnight stays. · Previous experience working with international teams or startups an advantage · Proven right to work in the UK. What We Offer · Longterm contract. · Remote-first work culture with flexibility. · Opportunity to work with a mission-driven, fast-growing team at the intersection of AI and public safety. · Career development opportunities and direct involvement in shaping customer success strategies. If you love tech and people, excel at juggling multiple challenges at once, and are eager for a place where you can truly grow—then you belong with us!

Partnership Manager – B2B Lead-Data Solutions (Remote) Company: SPONA Global Ltd, 85 Great Portland Street, First Floor, London, England, CN 15306836. Type: Independent Partner · Commission-only Territory: Worldwide Company Overview SPONA is a UK-based global B2B SaaS data provider that gives sales teams that sell to brick-and-mortar industries reliable, hard to find prospect data the same day they order. With faster, better lists, our clients start conversations sooner and close deals more quickly. Examples of current users: Prop-tech companies that help landlords be more efficient Recruiters who place construction talent Building-materials and tool makers growing dealer networks Regional trucking and logistics firms winning new freight contracts Program Highlights Commission: 15 – 24 % of gross revenue on every order; the rate grows as partner total revenue increases. Fast payment: Commissions are paid within five business days after the client pays. 10 % client discount: Every customer gets an instant 10 % price cut, helping you close more business. Recurring income: You keep earning on every new customer transaction. Low admin work: After you send a short lead request form, SPONA handles data gathering, quality checks, and delivery. Key Tasks Introduce SPONA to CROs, VPs of Sales, Sales Ops leaders, and SDR/BDR managers who sell to brick-and-mortar sectors. Explain what we deliver, our prices, and timing; secure signed orders. Look after each client account, submit new lead requests, and answer basic questions. Pass on product feedback or support issues to SPONA as needed. Ideal Partner Proven success in B2B sales, channel work, or partnerships—especially in high-ticket sales to brick-and-mortar Strong network of sales leaders who target brick-and-mortar businesses. Clear, professional communicator who can work independently. Commission Table Partner revenue Commission Up to 10.000 $ 15 % 10.001 – 30.000 $ 18 % 30.001 – 100.000 $ 21 % 100.001 + $ 24 % Commission is based on gross revenue and is paid within five business days of customer payment. How to Apply Send your résumé with the subject “SPONA Partner Application” or apply through this job board. SPONA Global Ltd welcomes applications from qualified professionals everywhere.

Job Title: Data Science Intern Location: Work From Home (WFH) Indian students currently pursuing graduation (final-year preferred) Duration: [e.g., 1-3 Months] Start Date: [Mention Date or "Immediate Joiners Preferred"] About the Role: We are offering an exciting opportunity for freshers to kickstart their career as a Data Science Intern. This remote internship will provide hands-on experience in data analysis, machine learning, and working with real-world datasets. Key Responsibilities: Work on collecting, cleaning, and analyzing datasets. Perform exploratory data analysis and generate reports. Develop and test machine learning models. Present data insights and contribute to live projects. Collaborate with team members in a virtual environment. Eligibility: Qualification: Fresher (recent graduates or final-year students welcome). Education: Pursuing or completed a degree in Computer Science, Data Science, Statistics, or related fields.

We're hiring for a Senior Software Engineer within our fundamental modelling team. The primary goal of this team is to improve the predictive power of our models based on historical event data. The quality of our models is incredibly important to us and improvements on our models directly impact financial performance. You'll be working closely with researchers, helping maintain trading infrastructure, and helping the team scale and improve the systems at the heart of the business. You'll be working on data pipelines, build, support systems and infrastructure. A very wide ranging role requiring extensive experience across multiple technologies. The ideal candidate will be highly creative and enjoy generating new, innovative ways to tackle problems and suggesting improvements to existing methodologies; you'll have a high level of autonomy to design and implement tooling and systems in a way you feel would be best suited to the problem at hand. A strong knowledge of operating systems, networks, software architecture and practical experience in deploying that knowledge is essential. We are a hybrid working company, with staff coming into the office in London every Thursday, plus any other days they like, working remotely at home the rest of the time. Our typical working hours are 10 am to 6 pm UK time, Monday to Friday, but we support flexible working and trust our team to manage their own schedules to meet their goals. We're targeting Senior Developers for this role, ideally with several years of experience in mission-critical systems where precision, reliability, and fault tolerance are paramount. Our interview process is as follows: - A brief screening call to give you some more information about the role, answer any of your initial questions and to check your suitability for the role. - A 60 minute technical interview with our CTO and/or Team Lead, discussing your previous experience and also discussing some systems design challenges and how you'd approach them - A collaborative coding assessment day, working with one of our team on some sample problems. This isn't leetcode, it's more about systems design and your approach to tradeoffs. This will last from 10am until 4pm UK time. - An in person "meet the team" at our London office. Requirements At least one, ideally both of: - A degree in a technical subject from a top university demonstrating your ability to grasp and apply complex concepts. - Several years of senior-level experience in teams building mission-critical systems where precision and reliability are essential to success. Demonstrated professional expertise in the following areas: - Fluency in multiple programming languages, with substantial experience in Python as a priority. - Development and maintenance of Continuous Integration (CI) pipelines. - Complex deployments on AWS - Docker or comparable containerization technologies. Nice to have experience: - Experience using numpy/pandas/torch/etc - Experience with Golang Benefits Our salary range for the role is £40,000 to £80,000, depending on experience and interview performance. List of benefits: - Participation in the uncapped company bonus scheme, typically 10-20% of salary depending on experience. - 10% matched pension contributions - Private healthcare insurance - Long term illness insurance - Gym membership - Choose your own hardware & setup for your development environment.