Mher Ignatosyan
Technology Developer @Barclays Investment Bank
Signup · Get unlimited contacts
WORK HISTORY
Technology Developer @Barclays Investment Bank
London, GB
Technology role within the FX Forwards team, focused on supporting and enhancing trading and analytics systems on the BARX electronic trading platform, with a specialization in kdb+/q data infrastructure.Key Responsibilities:Design, develop, and optimize kdb+/q applications for FX Forwards trading and analyticsSupport core BARX FX systems, including trade capture, pricing, and post-trade workflowsManage and analyze real-time and historical market data for reporting, risk monitoring, and trading insightsPartner with front-office traders, quants, and engineering teams to deliver high-impact system enhancementsDiagnose and resolve production issues, ensuring high availability and low-latency performancePerform data validation and reconciliation to maintain accuracy across FX platformsDrive performance tuning and scalability improvements across data and trading systems
EDUCATION
Quantum College
High School Diploma, Mathematics and Computer Science
The University of Manchester
Bachelor's degree, Artificial Intelligence
ABOUT MHER IGNATOSYAN
I’m a software engineer focused on AI, NLP, and data-intensive systems, with an emphasis on building models and infrastructure from first principles rather than relying on pre-trained abstractions. My work sits at the intersection of machine learning, high-dimensional data analysis, and financial applications. I’ve developed both dense and sparse embeddings directly from raw corpora, tackled vector similarity and subword modeling challenges, and designed context-aware representations for real-world datasets. Recently, I completed a project on high-dimensional data embedding and visualization, analyzing relationships between financial indicators and market sentiment using NLP and dimensionality reduction techniques. This involved end-to-end experimentation—from data preprocessing and representation learning to evaluation and visualization. I’m particularly interested in applying AI to markets, decision systems, and intelligent agents, where performance, interpretability, and scalability matter. Open to connecting with people working on quantitative finance, AI systems, or applied machine learning.
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.