Intelligence Analyst

Intelligence Analyst

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Wise

At a Glance

  • Tasks: Analyse and combat financial crime using advanced data techniques and collaborative strategies.
  • Company: Join Wise, a global leader in money management and technology.
  • Benefits: Competitive salary, inclusive culture, and opportunities for career progression.
  • Other info: Be part of an inclusive team that values respect and empowerment.
  • Why this job: Make a real difference by protecting customers from sophisticated fraud.
  • Qualifications: Experience in fraud analysis and strong technical skills in data manipulation.

The predicted salary is between 60000 - 80000 £ per year.

Wise is a global technology company, building the best way to move and manage the world’s money. As part of our team, you will be helping us create an entirely new network for the world's money. We are seeking an experienced Threat Intelligence Analyst to join our Threat Intelligence Unit (TIU). In this role, you will analyze, synthesize, and leverage the complex tactical, operational, and strategic signals gathered through our Intelligence Collection Framework (ICF) to protect Wise and our global customer base from sophisticated fraud and financial crime.

Utilizing structured kill-chain modeling, you will map fraud vectors end-to-end to isolate mitigation opportunities, collaborating cross-functionally across Wise to proactively neutralize risks.

  • Threat Assessment & Quantification: Analyze signals harvested by the ICF to evaluate Wise's exposure to specific vectors, leveraging large-scale datasets to quantify and qualify the nature of emerging threats. Engineer and deploy sophisticated detection rules and behavioral features in response to tactical Indicators of Compromise (IOCs), actively shielding vulnerable customers and identifying accounts at risk.
  • Kill-Chain Modeling: Map out complex financial crime and fraud vectors using structured kill-chain frameworks, identifying strategic intervention and mitigation points across every stage of the attack lifecycle. Partner with diverse business units across Wise to design and execute comprehensive response strategies for high-impact threats, transitioning seamlessly from immediate tactical fixes to long-term strategic changes.
  • Provide data-driven insights to steer the future direction of the ICF and support the TIU’s investigative function in identifying and tracking malicious actor activity.
  • Analytical Expertise: Significant experience in fraud and/or financial crime analysis, possessing a deep technical understanding of diverse attack typologies and their operational impact across various customer segments.
  • Strategic Control Deployment: Substantial experience developing counter-fraud strategies, specifically through the creation, testing, and deployment of rules, models, and features, alongside a proven ability to influence key stakeholders. A sophisticated, counter-adversarial approach to risk detection and threat modeling.
  • Technical Data Proficiency: Proficiency in extracting, manipulating, and analyzing large-scale datasets using SQL, Python, or similar data science methodologies to produce structured, analytical outputs. Demonstrated capability to map end-to-end attacks and articulate complex threat technicalities to diverse audiences—ranging from engineering and analytical teams to product owners, policy writers, and executive leadership.
  • Prior experience with external networks (industry trust groups, public-private partnerships, or law enforcement), cyber kill-chain mapping, or certifications such as SANS training, ACAMS, ACFE, or ICA are highly advantageous.

We're people building money without borders — without judgement or prejudice, too. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.

Wise

Contact Details:

Wise Recruitment Team

We think you need these skills to ace Intelligence Analyst

Threat Intelligence Analysis
Fraud Analysis
Financial Crime Analysis
Kill-Chain Modeling
Data Analysis
SQL
Python