88 Best r programming Jobs in London (June 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.

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Summary: Are you passionate about uncovering insights hidden within data? We're looking for a Data Analyst to join our team and play a key role in driving data-driven decisions. You'll be responsible for collecting, processing, and analyzing complex datasets to identify trends, patterns, and opportunities that will help our organization achieve its strategic goals. Your work will directly influence business outcomes by providing actionable intelligence to stakeholders across the company. Responsibilities: Collect data from various sources, including databases, APIs, and other systems. Clean and prepare data for analysis, ensuring accuracy and consistency. Analyze data using statistical methods and tools (e.g., SQL, Excel, Python, R) to identify key trends, patterns, and anomalies. Develop and maintain reports, dashboards, and data visualizations to communicate findings to technical and non-technical audiences. Collaborate with cross-functional teams (e.g., marketing, sales, operations) to understand their data needs and provide analytical support. Identify opportunities to improve data collection, processing, and analysis methodologies. Document data analysis processes and findings to ensure reproducibility and knowledge sharing. Stay up-to-date with the latest trends and technologies in data analysis. Qualifications: Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science) or equivalent experience. Proven experience as a Data Analyst or in a similar role. Strong proficiency in SQL for data extraction and manipulation. Excellent skills in Excel for data analysis and reporting. Experience with data visualization tools (e.g., Tableau, Power BI) is highly desirable. Familiarity with programming languages such as Python or R for statistical analysis is a plus. Solid understanding of statistical concepts and methods. Strong analytical and problem-solving skills with a keen attention to detail. Excellent communication and presentation skills, with the ability to convey complex information clearly and concisely. Ability to work independently and collaboratively in a fast-paced environment.

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