We’re committed to putting people first – if you need an accommodation as you go through the job searching, application, and interviewing process, please click here for more information.
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Influence the Future: Shape the direction of our risk control initiatives, influencing policy and procedural changes that enhance our market position. A proven Risk Control industry leader with significant Life Science and Technology experience in the commercial insurance industry space that can balance competing demands of self-performed work, coaching, and project completion. Strong technical property, products, auto, and workers compensation knowledge relevant to Life Science and Technology verticals with analytical skills to interpret data for informed decision-making. Exceptional coaching and communication abilities to inspire and guide teams and clients alike. A coach who can monitor and evaluate the technical skills and assess report quality of Risk Control Consultants while providing actionable feedback. An adaptable and proactive mindset with a passion for problem-solving and innovation to excel with our product director and underwriting teams. Participates in actively acquiring and retaining profitable business. Strong understanding of regulatory and code requirements (e.g. FDA, EMA, NFPA) and risk management methodologies. Familiarity with quality management systems (QMS), Good Laboratory Practices (GLP), and Good Manufacturing Practices (GMP). Familiarity with electronics manufacturing, software as a product and telecom industries. Ability to travel to client sites across the US. Travel is expected to be in a range of 25-50% per month. Bachelor's degree with coursework in math, engineering or related areas (or equivalent) and at least 10 years of directly related consulting experience in loss prevention or progressive safety/heath field. Candidates are typically working towards (or obtained) an advanced degree and/or professional certification in one or more of the following areas: CSP, ARM, CRM, CPCU, CIH, or CPE. Advanced knowledge, skills and experience in a specialized field, service planning and delivery, risk assessment, risk analysis, solutions management and progress measurement. Fully effective interpersonal, writing and other communication skills, required to develop and maintain relationships with customers, peers, and industry contacts. Excellent coaching and mentoring skills. Demonstrated ability to retrieve and enter information using various proprietary software applications and create/modify documents and complex spreadsheets using Microsoft Office suite. 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Intermediate experience using Python for data transformation, integration, and automation. Hands-on experience with modern public cloud-based data platforms--Snowflake, AWS (e.g., S3, Glue, Lambda). Proficiency with ETL/ELT pipelines and patterns for loading data warehouses and data lakes. Hands-on experience building and deploying CI/CD pipelines (e.g., GitHub Actions, Bamboo, or similar tools). Exposure to the Investments or Finance domain is highly desirable. Familiarity with building and consuming APIs (e.g., REST, API Gateway). 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Effective communication skills, with the ability to clearly articulate complex ideas and analysis to both technical and non-technical stakeholders. Strong attention to detail, organization, and the ability to manage multiple tasks and priorities in a fast-paced environment. Full-stack development knowledge with a minimum of 5 years professional experience programming in Python demonstrating the ability to write efficient and robust code able to process and analyze large financial datasets. Experience with key Python Libraries (pandas, NumPy) required Experience in front-end development and user experience (UX) design required; experience with Pythonic front-end and data visualization libraries (e.g., Plotly, Dash) preferred. Experience using Version Control (Git) required. Proven ability to design, build, and scale application systems in data-rich environments. 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Proficiency in investment analytics, data architecture, and programming tools such as Python, SQL, Dash, and Power BI. Bachelor's degree required; advanced degree or certification (e.g., MBA, CFA, CAIA) strongly preferred. Builds the Business: Shapes long-term strategy through insight, foresight, and execution at scale. Drives Commercial Impact: Translates ideas into innovations that enhance portfolio performance and investment advantage. Delivers Through People: Develops talent and fosters a collaborative, high-performance team culture. Models Corporate Citizenship: Collaborates transparently across the enterprise and leads with integrity and shared purpose. Ensure initiatives are operationalized across the investment platform and embedded into daily decision-making. Manage, mentor, and develop a high-performing team, fostering a culture of intellectual curiosity, continuous learning, and applied experimentation. 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Strong analytical and problem-solving skills with an ability to work with ambiguous and incomplete information. Good understanding of agile software development concepts and processes including backlog tracking, prioritization, strong collaboration within a scrum team, and adaptability through incremental delivery. Must be proactive, demonstrate initiative and be a logical thinker, have extensive consultative skills, including the ability to understand and apply customer requirements, including drawing out unforeseen implications and making recommendations for design, the ability to define design reasoning, understanding potential impacts of design requirements. Strong negotiation, facilitation, and consensus building skills. 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Design and develop solutions to support ingestion, curation and provisioning of complex enterprise data to achieve analytics, reporting, and data science Analyze, develop and execute data integration solutions, to manage the information lifecycle needs of an organization. Designs and builds data provisioning workflows/pipelines, physical data schemas, extracts, data transformations, and data integrations and/or designs using ETL and API microservices Builds data architecture and applications that enable reporting, analytics, data science, and data management and improve accessibility, efficiency, governance, processing, and quality of data. Improve speed to market by focusing on current data needs as well as building out long-term strategic data solutions using AWS, Snowflake, SQL, Informatica, as well as other modern data technologies Provide successful deployment and provisioning of data solutions to production or other required environments. 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