Lead Data Scientist, Cyber Catastrophe Risk Model
1 week ago
ResponsibilitiesDevelop, calibrate, validate, and stress test probabilistic cyber risk models for the (re)insurance and financial services markets.Develop and implement methodologies to quantify the financial impact of cyber risk on single entities as well as large insured portfolios, with a specific focus on digital/physical supply chain-related events.Develop and implement tools to effectively visualize the potential impact of cyber events.Explore different data sources to come up with features and assumptions to enhance our set of probabilistic risk models.Integrating/automating modeling processes in our production pipeline to feed our platform.Define and implement a globally consistent best practice process for data validation, feature selection, and modeling of catastrophe exposures.Champion best practices to design and extend a rapid and flexible modeling framework.Communicate results to internal and external stakeholders.Engage and collaborate directly with clients on a deep technical level.Collaborate with other leaders across the Analytics organization, including Product Management, Engineering, and Client Engagement.Qualifications and RequirementsPhD or MS degree in Applied Mathematics, Statistics, Engineering, or similar quantitative disciplines.Mastery of deep learning non-parametric models, clustering, anomaly detection, and interpretability.5+ years of experience in statistical data analysis, feature engineering, data visualization, and hypotheses testing.True passion for leading, inspiring, mentoring, and attracting world-class colleagues.Experience working with different types of datasets (e.g., unstructured, semi-structured, with missing information).Proficiency in Python or R, and SQL.Experience working with tools such as AWS Athena, Databricks, Apache Airflow, etc.Excellent written and verbal communication skills.Ability to think critically and creatively in a dynamic environment, while picking up new tools and domain knowledge along the way.A positive attitude and a growth mindset.$141000 - $198000 a year
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Model Risk Data Scientist
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San Francisco, United States SentiLink Full timeModel Risk Data Scientist – SentiLink SentiLink offers AI-powered identity and risk solutions that enable secure transactions for institutions and individuals. We aim to deliver faster, smarter, and more accurate verification than the status quo. This is a remote, US‑based role. Responsibilities Build foundational processes for generating and surfacing...
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SVP, Catastrophe Risk Management
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San Francisco, CA, United States Guy Carpenter Full timeSVP, Catastrophe Risk Management Like the look of this opportunity Make sure to apply fast, as a high volume of applications is expected Scroll down to read the complete job description. Guy Carpenter's North American Strategic Advisory is seeking candidates for this position. What you can expect Support GC broking operations by performing the catastrophe...
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Model Risk Data Scientist
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SVP, Catastrophe Risk Management
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San Francisco, United States Marsh McLennan Full timeJob TitleGuy Carpenter's North American Strategic Advisory is seeking candidates for the following position.What Can You Expect?Support GC broking operations by performing the catastrophe risk analytics necessary for reinsurance evaluation, decision-making, and placement. Act in an advisory fashion directly with our clients, in a wide range of areas. Develop...
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Remote Model Risk Data Scientist — Governance
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San Francisco, United States SentiLink Full timeA leading data solutions company is seeking a Model Risk Data Scientist to develop AI-powered identity and risk solutions. You will be responsible for generating model performance metrics and providing guidance on our products. Candidates should hold a degree in Data Science or related fields and have strong skills in Python and SQL, as well as relevant...
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San Francisco, United States Lead Bank Full timeLead is a fintech building banking infrastructure for embedded financial products and services. We operate an FDIC‑insured bank headquartered in Kansas City, Missouri. Additionally, we have offices in San Francisco, Sunnyvale, and New York City, where our technical, product, design, and legal teams operate. We are built for a constantly evolving financial...
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SVP, Catastrophe Risk Management
3 days ago
San Francisco, CA, United States Marsh & McLennan Companies, Inc. Full timeCompany: Guy Carpenter Make sure to read the full description below, and please apply immediately if you are confident you meet all the requirements. Description: Guy Carpenter’s North American Strategic Advisory is seeking candidates for the following position. Support GC broking operations by performing the catastrophe risk analytics necessary for...
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Catastrophe Data Engineer
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San Francisco, United States Pear Vc Full timeAbout Us:Rising disasters—from earthquakes to wildfires—are destabilizing the property insurancemarket, yet carriers often rely on outdated, incomplete data. ResiQuant is changing that.Founded by Stanford PhDs and backed by a $4M seed round led by LDV Capital, we fusestructural engineering with advanced, agentic AI to expose critical vulnerabilities...
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San Francisco, CA, United States SentiLink Full timeA leading data solutions company is seeking a Model Risk Data Scientist to develop AI-powered identity and risk solutions. You will be responsible for generating model performance metrics and providing guidance on our products. Candidates should hold a degree in Data Science or related fields and have strong skills in Python and SQL, as well as relevant...
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SVP, Catastrophe Risk Management
3 days ago
San Francisco, CA, United States Marsh & McLennan Companies Full timeGuy Carpenter's North American Strategic Advisory Please make an application promptly if you are a good match for this role due to high levels of interest. Guy Carpenter's North American Strategic Advisory is seeking candidates for the following position. Support GC broking operations by performing the catastrophe risk analytics necessary for...
