Technical Account Consultant, Featurespace
Spanish Speaker
Provider of fraud and crime prevention technology
Job no longer available
Provider of fraud and crime prevention technology
201-500 employees
Job no longer available
201-500 employees
Company mission
To make the world a safer place to transact.
Role
Who you are
- Demonstrated success in Customer Success, Technical Account Management, Customer Support, Software Engineering, Solution Design, or Professional Services function for a product / SaaS company with enterprise customers in a financial sector
- Strong academic background (technology or scientific degree) or extensive relevant experience required
- Experience in a delivery consulting environment; including leading meetings, workshops, gathering requirements, scoping, and briefing technical teams to deliver
- Excellent customer and business relationship/stakeholder management skills
- Ability to communicate clearly, both verbally and in writing, to global internal teams and external customers, adapting to different audiences – ranging from highly technical software architects to non-technical stakeholders
- Experience in data analysis, report writing and presentation
- Ability to tackle challenging technical problems autonomously
- Understanding of the principles behind architecting distributed large scale data processing deployments and comprehensive and up to date knowledge of industry technologies for storage, networking and processing
- Broad technology knowledge and experience with at least four of listed technologies: MongoDB or other NoSQL databases, Elastic Stack, REST APIs, programming languages (i.e. Python or Java), distributed systems and technologies such as Apache Zookeeper and Apache Kafka, Public and Private cloud computing (AWS, GCP)
- Ability to conduct independent research, using internal and external resources to determine the root cause of problems and find workable solutions
- Fluency in Spanish, and confidence in conducting meetings in both Spanish and English
What the job involves
- Develop strategic relationships with stakeholders to understand a customer’s business and collaborate to develop strategic roadmaps together
- Participate in sales handovers, internal planning sessions, quarterly business reviews and executive sessions to better understand the customer’s business and technical needs
- Support the Customer Success team by acting as the internal champion and advocate for the customer to aid the resolution of customer issues through coordination of efforts among Featurespace’s internal teams (data science, SMEs, delivery, technical support, engineering, and leadership teams)
- Understand the customer requirements and deliverables and work with the project and customer success teams to create a comprehensive Statement of Work
- Seek out where additional professional services packages could be of benefit to the customer and lead the delivery of these or coordinate with Subject Matter Experts, Data Science or Risk Strategy Consultants etc
- Ensure the customer is getting value from the solution as expected and if not, then manage the process to resolve this
- Retain detailed knowledge and insight into each customer’s platform and solution with Featurespace
- Influence the roadmap of Featurespace products by leveraging the knowledge of your customers’ solutions, environments, and use cases
- Learn and keep up-to-date on the latest product features, functionality, dependencies, underlying architecture, and their operational impact
- Help to educate your customers on best practices for using the Featurespace platform
- When necessary, be ready to dig in to assist in addressing customer issues alongside Featurespace Engineers and Data Scientists
- Use the knowledge of your customers to help Featuespace teams better assist your customers by running training sessions and contributing to documentation
- Conduct regular Technical Reviews and maintain the health report of each platform and review original sizing and projected growth to circumvent future issues
Our take
Featurespace is the world leader in Enterprise Financial Crime prevention for fraud and Anti-Money Laundering. The company is responsible for the invention of Adaptive Behavioural Analytics and achieved its best result to date through the creation of the ARIC platform, a real-time machine learning software that helps to prevent fraud and financial crimes by risk-scoring events in more than 180 countries.
The global fraud detection and prevention market is exhibited to grow to $129.17 billion USD by 2029. Among Featurespace's main competitors are Signifyd, the world's largest provider of Guaranteed Fraud Protection, and Riskified. Featurespace's ARIC Risk Hub is used by more than 30 major global financial institutions including HSBC, TSYS, Worldpay, NatWest Group and Danske Bank.
Fraud is all about discovering an individual's vulnerability. Recently, the way we live and work has been significantly disrupted, exposing us to new and different threats. The goal for Featurespace is to keep finding solutions to new customer problems while constantly evolving to meet new standards.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-13% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
May 2020
$39.6m
LATE VC
Jan 2019
$33m
LATE VC
Total funding: $109.9m
Company benefits
- Quarterly bonus awards
- Great pension/401k schemes
- Generous annual leave allowance
- Stock options
- Career growth and training opportunities
- Flexible working practices
- Regular social and team building events
- Discounted gym memberships and remote exercise classes
- Cycle to work scheme
Company HQ
Milton, UK
Leadership
David Excell
(Co-founder)Studied at the Australian National University and the University of Cambridge. Alongside being the founder of Featurespace, they are also a board member for the Technology Association of Georgia and The Knoble, bringing together networks of financial crime specialists to prevent criminals from using the world’s financial systems to profit from the suffering of others.
Bill Fitzgerald
(Co-founder & Chairman)Professor of Applied Statistics and Signal Processing and Head of Research in the Signal Processing Laboratory, in the Department of Engineering at Cambridge University.
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