Domain Expert, Associate - Cyber Risk (12 Month Fixed-Term Weekend Shift)

United Kingdom

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Cybersecurity, Artificial Intelligence, Data & AnalyticsIndustries

Requirements

A Bachelor's degree is required, preferably in Cybersecurity, Defence or Strategic Studies, International Relations, Political Science, or a related field. Candidates must be able to interpret and describe complex events with incomplete data in a fast-paced environment in English, with additional languages being a plus. Adaptability, innovation, and the ability to manage competing priorities in evolving scenarios with incomplete information are essential. A passion for breaking news, current world events, technology, and a strong understanding of social media and publicly-available data are necessary. Previous experience in a real-time information environment is ideal.

Responsibilities

Serve as an expert on cybersecurity events, emerging cyber risks, and relevant data sources to enhance AI models. Monitor and analyze the quality of data feeds. Develop and own projects aimed at improving the performance of AI models in real-time event detection. Make real-time decisions based on incomplete data. Collaborate and communicate daily priorities within a team-centric environment. Examine and analyze data feeds, and annotate, label, and edit signals in real time to improve alert quality and advance the AI platform. Integrate key knowledge domains into AI models through a human-AI feedback loop. Define new factors to improve alerts, data source coverage, machine learning, and AI models.

Skills

Cybersecurity

Data Analysis

Machine Learning

AI Models

Data Annotation

Real-time Data

Risk Assessment

Event Detection

Generative AI

Multimodal AI

Dataminr

Real-time AI for risk detection and alerts

About Dataminr

Dataminr leverages artificial intelligence to detect early signs of significant events and emerging risks from publicly available data in real-time. Its platform provides insights to businesses, public sector organizations, and newsrooms, helping them respond proactively to potential threats and uncover stories before they become mainstream. The technology utilizes deep learning and multi-modal AI fusion to enhance event detection accuracy by analyzing various data types together. Dataminr operates on a business-to-business model and aims to empower organizations to effectively manage risks and respond to high-impact events.

New York City, New YorkHeadquarters

2009Year Founded

$1,023.3MTotal Funding

SERIES_FCompany Stage

Data & Analytics, AI & Machine LearningIndustries

501-1,000Employees

Risks

Complex maritime environments may challenge Dataminr's integration with Windward's platform.

New CEO Brian Gumbel may introduce strategic shifts disrupting current operations.

ReGenAI's launch may face scrutiny over data privacy and ethical concerns.

Differentiation

Dataminr uses deep learning and multi-modal AI fusion for accurate event detection.

The platform provides real-time alerts from diverse sources, including social media and the dark web.

Dataminr's ReGenAI regenerates textual descriptions in real-time, enhancing AI innovation.

Upsides

Partnership with Windward enhances maritime industry response to complex global events.

Growing cybersecurity importance boosts Dataminr's relevance through Stratascale partnership.

Murali Nemani's appointment as CMO is expected to accelerate market expansion.

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