About Us

Who We Are

Every member of the team is educated to Masters, PhD, or above.  We are exposed to a wide variety of clients, projects, tools and solutions. We are motivated by the difficulty of the challenge and the desire to be at the spear-point of an exploding industry of software, science and new knowledge. We source our talent from the world’s leading research and academic institutions. Every Data Spartan is treated equally, has direct input into the business and is supported with the opportunity to work, study, create new products or enterprises within our ecosystem.

How We Work

The experience, education and motivation of our team ensures we deliver every time we are engaged. DataSpartan’s capabilities are not defined by the technology stacks we use, but by our team’s imagination and ability to creatively solve impossible problems.

We are truly agnostic on the tools we utilise to achieve results. As experts in our craft, we simply pick the best systems for the job in hand, or adapt to the tools our clients present us with. Every member of the team is fluent in multiple software languages and methodologies with experts available on hand for any major data, architecture and ML and AI systems.

Illustration of Data Science and Deep Learning

Our Story


The idea of DataSpartan was born by a group of researchers whilst solving business problems with alternative ways using applied cutting-edge research at University College London (UCL).


DataSpartan is founded. First PoCs in the area of Data Analytics, Quantitative Finance and Operational Risk with financial institutions.



Expansion of the team and completion of new projects in the area of Quantitative Finance. Deployed the core team of the Automated Statistical Arbitrage team in top Investment Bank. Lead Hackathons to bring brand awareness and recruit high quality talent.  



More successful projects with new investment banks in the area of Data Science. New ML solutions were deployed in Risk and Data Analytics departments. The DataSpartan team built a new innovative Blockchain-based solution for German Investment bank for better trade reconciliation. Lead women’s networking in finance event with a leading swiss bank.



DataSpartan was part of the new innovation lab of the biggest French investment bank. Built the first DataLake for Spanish investment bank. Built the first AI solution that understands Law quotes with a leading British Law Firm.



Built and applied cutting edge Machine Learning research with a number of later series Startups in the area of Natural Language Processing. First collaboration with a leading Chip semiconductor company to develop hardware accelerated trading libraries. 



Researched and reviewed new security protocols for a leading Blockchain Solution company. Alpha version of DataSpartan NLP product was deployed and used by first customers. Generated new NLP-based algorithms for better understanding clients financial risks. Worked with new startups to apply NLP and behavioural AI to their platform.

Our Leadership Team

Leslie Kanthan

Leslie Kanthan

Co-Founder and Partner
PhD in Machine Learning,
University College London

Leslie is an expert in quantitative research, graph theory and efficient similarity search techniques. His previous work in locality sensitive hashing now powers Uber in obtaining similar trips. Before founding DataSpartan, Leslie worked with Bank of America, Commerzbank and Credit Suisse in Quantitative Research.

Leslie Kanthan

David Martinez

CSO and Co-Founder
PhD in Computer Science and AI,
University College London

David is a key leader in machine learning modelling, big-data ingestion and practical usage and application of AI systems. He says, “I am convinced that technology and automation will keep bringing solutions to the most challenging problems in society. Being part of the change is what keeps me and the Spartans moving.”

Leslie Kanthan

Carlos Perez Freire

CIO, Head of Architecture
MScRes in Telematics, University of Vigo;
MS in Computer Engineering,
Universidad de A Coruna

Carlos has a decade of experience in building large corporate architecture environments. With certifications in AI frameworks and methodologies, multiple programming languages, and big data, Carlos is one of our senior developers and project leaders.

Leslie Kanthan

Dr Victor Roris

Head of Engineering and NLP
PhD in Telematics Engineering,
University of Vigo

With his ‘cum laude’ academic background and PhD in Telematics Engineering, Victor had 13 years experience within commercial R&D environments before bringing his specialist programming and NLP skills to DataSpartan.


Leslie Kanthan

Paul Coleman

Business Development Consultant

Paul develops and implements growth and sales methodologies for leading global organisations. He is passionate about identifying new opportunities to combine new technologies with the global challenges clients want solved.

Leslie Kanthan

Myriam Yazidi Benhalal

Business and Marketing Analyst 

Myriam works to implement strategic initiatives to create opportunities and support growth at DataSpartan. As part of her operations and development responsibilities, Myriam coordinates our internship and placement programme for graduates and undergraduates.

Leslie Kanthan

Amparo Alonso

Universidad de A Coruna;
Universidad de Santiago de Compostela

Amparo works to improve business performance through strategic and productivity initiatives at DataSpartan. She is currently President of the Spanish Association for Artificial Intelligence (AEPIA). As a Professor at Spain’s Universidad de A Coruna, she leads the Laboratory for the Investigation and Development of Artificial Intelligence (LIDIA). Amparo is the 1998 recipient of the prestigious L’Oreal-UNESCO Award for Women In Science in Spain.

Leslie Kanthan

Paco Nathan

MS in Computer Science (Systems),
Stanford University

A former NASA engineer, Paco brings 10+ years leading innovative Data teams and 25+ years in the technology industry to DataSpartan. He is a Data Scientist for Concurrent in San Francisco and a Committer on the Cascading open source project. His background is in math, statistics and distributed computer. He has expertise in Hadoop, R, AWS, predictive analytics, machine learning, NLP, and is extensively published in both Data Science and AI computing.

Challenge Us Today


Floor 10,
1 Ropemaker Street,
+44 (0) 2070812937