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

Melbourne, Victoria, Australia

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, CybersecurityIndustries

Requirements

Bachelor's degree required, with a concentration in Cybersecurity, Defence or Strategic Studies, International Relations, Political Science, or a closely related field strongly preferred
Ability to interpret and succinctly describe ongoing, complex events with incomplete data in a fast-paced environment in English; ability to read and understand additional languages a plus
Adaptable, innovative and able to juggle multiple competing priorities in evolving scenarios with incomplete information
Passion for breaking news, current world events, technology, and a great understanding of both social media and publicly-available data
Enthusiastic approach to innovation and strategic thinking
Ideally, previous experience of working in a real-time information environment
Ability to work full-time on a 12 month fixed-term contract, including weekends (Saturday & Sunday) during core hours (8:00am - 4:00pm AEST or 10:00am - 6:00pm AEDT), as well as projects and meetings outside of business hours

Responsibilities

Serve as an expert on cybersecurity events and emerging cyber risks, and relevant data sources to improve our AI models
Monitor and analyze the quality of our data feeds
Own and develop projects to improve our AI models’ performance in the real time event detection space
Make real-time decisions with incomplete data
Collaborate on and communicate about daily priorities in a team-centric environment
Examine and analyze data feeds and annotate, label and edit signals in real time
Play a key role in defining new factors to improve alerts, data source coverage, machine learning and AI models as part of the algorithm training process and human-AI feedback loop

Skills

Data Annotation

Signal Labeling

Real-time Analysis

AI Training

Machine Learning

Cyber Risk

Event Detection

Multimodal AI

Generative AI

Human-AI Feedback

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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