• Transition raw behavioral data into actionable product insights • Define the requirements and implement the pipeline that translates data into synthesized industry insights • Automate the pipeline of data from various sources into common data categories • Aid in the productization of compiled data insights sourced from these categories and deliver them to AdvisorTarget clients • Generate client files for delivery and evaluating data sets for trends and insights • Thrive in a fast-moving business environment with the ability to work independently

Role Description Are you a detail-oriented individual with a passion for research and a good understanding of national and local geography? This freelance opportunity allows you to work at your own pace and from the comfort of your own home. A Day in the Life of an Online Data Analyst: - Working on a project aimed at enhancing the content and quality of digital maps used by millions of people worldwide. - Completing research and evaluation tasks in a web-based environment such as verifying and comparing data, and determining the relevance and accuracy of information. Join us today and be part of a dynamic and innovative team that is making a difference in the world! Qualifications - No previous professional experience is required to apply to this role. - Working on this project will require you to pass the basic requirements and go through a standard assessment process. - This is a part-time long-term project and your work will be subject to standard quality assurance checks during the term of this agreement. Requirements - Full Professional Proficiency in Spanish language. - Being a resident in Spain for the last 2 consecutive years and having familiarity with current and historical business, media, sport, news, social media, and cultural affairs in Spain. - Ability to follow guidelines and conduct online research using search engines, online maps, and website information. - Flexibility to work across a diverse set of task types, including maps, news, audio tasks, and relevance. - Daily access to a broadband internet connection, computer, and relevant software. Benefits - Earn extra income. - Access to our community wellbeing initiative. - Remote work & Location Independence. - Be your own boss. - Flexible Hours to fit in with your lifestyle. - Be a part of an online community. Company Description TELUS Digital is at the forefront of creating and enhancing the world's data to enable better AI via human intelligence. Our solutions improve AI systems in multiple applications, such as advanced smart products, improved search results, expanded speech recognition, more human-like bot interactions, and more. - Join our global AI Community of 1 million+ annotators and linguists in helping companies in testing and improving machine learning models. - Our flexible freelance opportunities allow you to work at your own pace and from the comfort of your own home.

Title: Sr. Insurance Product Data Analyst Job Description: Location:Goochland, VA Company: This position is based out of our beautiful West Creek office location, 12580 West Creek Parkway, Richmond, VA 23238. Office hours: Monday-Friday 8:00am - 4:30pm, hybrid work schedule is offered, fully remote considered for well qualified candidates. **** To Be Considered for this role, the candidate MUST reside in any of the following states: Virginia, North Carolina, Maryland, Pennsylvania, West Virginia, New York, Kentucky, or New Hampshire ***** We are seeking a dedicated and insightful Sr. Insurance Product Data Analyst to join our Actuarial team. This role is pivotal in leveraging data analysis to drive business results, focusing on storytelling, curiosity, and intellectual prowess. The ideal candidate will have experience in property and casualty insurance data analysis and possess the grit necessary to excel in a dynamic, collaborative environment. Within the Actuarial team at Virginia Farm Bureau, you will have the opportunity to regularly engage in unique and intellectually stimulating business problems and propose fact-based solutions with consideration of internal and external trends to achieve business objectives. By collaborating with partners across the organization you will ensure strategic direction and alignment for successful execution. The Sr. Insurance Product Data Analyst is a highly motivated, creative self-thinker and is intellectually curious and eager to learn new skills and capabilities. Primary Functions Statutory Reporting: Analyze and interpret statutory data to ensure compliance and support strategic decision-making. Reinsurance Data Calls & Support: Provide data-driven insights to support reinsurance functions and optimize data calls. Business KPIs: Develop and monitor key performance indicators to track business performance and inform strategic initiatives. AM Best Reporting: Prepare and analyze data for AM Best reporting, ensuring accuracy and compliance. Rate & Competitive Position Analysis: Conduct thorough competitive analysis using InsureQuote, SERFF filings, and AM Best resources to inform pricing strategies. Industry Analysis: Evaluate industry reports and investor presentations to provide actionable insights for strategic planning. Policy / Pricing Reviews: Analyze policy structures and pricing models to recommend improvements and optimize profitability and support to our agents/producers. County Strategy: Develop data-driven strategies to enhance market position and competitive edge at the county level. Cross-Collaboration: Work with stakeholders across the organization to understand their business reporting needs and translate them into actionable insights. Skills and Qualifications Education: Bachelor’s Degree (Math, Statistics, Finance, Business, Actuarial Science, Business Analytics or similar preferred) Experience: A minimum of five years of Property & Casualty insurance industry experience in business and financial analytics, data sciences, or similar roles. Insurance Knowledge: Strong understanding of insurance definitions, KPIs, and rating plans. Data Extraction & Analysis: Ability to extract and analyze complex data sets to inform business decisions. Research & Critical Thinking: Demonstrated ability to conduct thorough research and apply critical thinking to solve complex business challenges. Financial Analysis: Proficiency in financial analysis to support business objectives and strategic initiatives. Collaboration: Effective collaboration with different departments and senior management to drive business success. Communication Skills: Strong verbal and written communication skills to convey complex information clearly and concisely. Organizational Skills: Ability to multitask and prioritize work assignments effectively with moderate guidance. Required Technical Skills - Intermediate proficiency in Excel, including VBA, VLOOKUPs, tables, charts, and graphs. - Experience with SQL for data manipulation and analysis. - Ability to learn new tools and concepts quickly in a dynamic environment. Benefits At Virginia Farm Bureau, we provide an exceptional benefits package, including ongoing job development and support in all roles, paid training and continuing education reimbursement, medical and dental insurance available on your first day, generous employee 401K contribution, excellent Paid Time off (PTO) plan and more! If you are a curious, intellectually driven individual with a passion for using data to tell compelling stories and drive business results, we encourage you to apply for this exciting opportunity. Join us and contribute to shaping the future of our insurance business. Virginia Farm Bureau Companies provide equal employment opportunities in all aspects of employment without regard to race, color, national origin, religion, gender, pregnancy, age, disability, orientation or veteran status.

Role Description We are seeking a Senior Quant Trader with 5 to 8 years of experience and a demonstrated track record in creating and implementing systematic trading strategies. The ideal candidate should possess strong skills in alpha generation, statistical modeling, and risk management across various asset classes, including equities, derivatives, crypto, or global macro markets. - Design, backtest, and implement quantitative trading strategies. - Consistently generate alpha by leveraging statistical and machine learning models. - Perform comprehensive data analysis and research to identify market inefficiencies. - Enhance execution strategies while minimizing slippage. - Develop and maintain robust risk management systems. - Work closely with technology and research teams to improve trading infrastructure. - Oversee live trading strategies and continuously optimize their performance. Qualifications - 5–8 years of experience in proprietary trading, hedge funds, or quantitative trading environments. - Proficient programming skills in Python, C++, or comparable languages. - Strong knowledge of probability, statistics, time-series analysis, and financial mathematics. - Experience with backtesting tools and trading platforms. - In-depth understanding of derivatives, market microstructure, and execution tactics. - Proven history of developing profitable trading strategies. Requirements - Background in high-frequency or mid-frequency trading. - Familiarity with machine learning methodologies. - Expertise in portfolio construction and capital allocation. - Capability to excel in a fast-moving, results-oriented environment. Benefits - Substantial capital allocation tied to performance. - Opportunity to join as an early team member. - Competitive compensation linked to profit and loss. - Direct interaction with company leadership. - Chance to create and scale trading strategies with ownership.