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Dataminr

Senior Associate, Domain Expert - Cyber Risk

Posted 2 Days Ago
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Remote
Hybrid
2 Locations
Senior level
Remote
Hybrid
2 Locations
Senior level
As a Senior Associate, Domain Expert in Cyber Risk, you will ensure data quality for AI models, monitor cybersecurity events, and improve alert accuracy. This role requires decision-making in real-time with limited information, collaboration with team members, and adapting to a fast-paced environment.
The summary above was generated by AI

See yourself at Dataminr

Dataminr’s Domain Experts are an essential component of our company’s success - ensuring the alerts we send to our clients are of the best possible quality and making Dataminr’s AI platform more advanced. As a Domain Expert, you will examine and analyze our data feeds and annotate, label and edit signals in real time. You will be an integral part of our algorithm training process and our advanced realtime human-AI feedback loop that integrates key knowledge domains into our AI models. As a Domain Expert, you will also play a key role in defining new factors to improve our alerts, data source coverage, machine learning and AI models.
This role is open as remote (United Kingdom or Ireland) or hybrid, and requires the ability to work core hours of 7:00am - 3:00pm GMT/BST in a real-time information environment. Candidates should be aware this role requires weekend rotational work, as well as projects and meetings outside of business hours.

At Dataminr, we are over 600 talented individuals, spanning seven global offices, united by our passion to use AI for the greater good and be agents of positive change in our company and in our communities.

We offer a competitive benefits package aimed at keeping you healthy and happy:

  • Comprehensive medical, dental and vision insurance plan options for employees domestic partners and their dependents

  • Generous PTO, flexible sick days and remote working options

  • Paid parental leave and family forming benefits

  • Mental health benefits and support

  • Company equity (RSUs) 

​At Dataminr, we serve a global community made up of many cultures and strive to reflect the diversity of the world in which we live. We stand for social justice and we lead with empathy. We foster a culture of allyship, standing up for those who face systemic barriers to equality. We actively condemn racism and discrimination in any form. 

We believe our differences give us strength. Our employees are empowered to be their best, authentic selves through various opportunities, such as our robust employee resource group (ERG) network, learning and development funds, and more. 

The opportunity

  • 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

What you bring

At Dataminr, we value you for who you are. We encourage you to apply for this role, even if you don't meet every qualification. Our candidates are reviewed on the basis of their skill and potential to succeed.

  • Bachelor's degree required, with a concentration in Cybersecurity, Defence or Strategic Studies, International Relations, Political Science, or a closely related field strongly preferred

  • 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

#LI-SM

#LI-REMOTE

About Dataminr

Dataminr is a mission-driven AI company that delivers real-time information from 1M+ public data sources, empowering organizations to respond to critical events and emerging risks before they unfold. Founded as an AI company in 2009, Dataminr has the history and tenure in artificial intelligence, and has developed pioneering technology that is redefining the future of real-time information. Recognized as one of the world’s leading AI businesses, recently, Dataminr launched ReGenAI, the first generative AI that automatically regenerates in real-time. Most recently valued at $4.1B, our technology is leveraged by more than two-thirds of the Fortune 50 and half of the Fortune 100 companies who all rely on our AI because we do something that others cannot do. 

Watch our CEO Ted Bailey, discuss the Future of Real-Time Information, the breadth of customers who trust Dataminr, and our proprietary ReGenAI technology here

At Dataminr, we are creating a team of talented builders, creators and visionaries to have a real-world impact on how organizations are able to respond to events. We operate all around the world united by our passion to use AI for the greater good, be agents of positive change and put our technology into the hands of client charged with the responsibility to keep organizations running and keep people safe.

Dataminr is an equal opportunity and affirmative action employer. Individuals seeking employment at Dataminr are considered without regards to race, sex, colour, creed, religion, national origin, age, disability, genetics, marital status, pregnancy, unemployment status, sexual orientation, citizenship status or veteran status.

Dataminr will collect and process your personal data. All personal data will be processed in accordance with Dataminr's data privacy notice available here: https://www.dataminr.com/privacy-policy and applicable data protection laws. By providing your details and applying via our careers website, you acknowledge that you have read our data privacy notice. If you have any queries, please contact the People Team at [email protected] or our Legal department at [email protected].

Top Skills

AI
Machine Learning

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