Resume
Siarhei Mardovich
Principal Product Designer. Fintech, capital markets, risk visualization, AI trust, and decision intelligence.
Professional summary
Product design for high-stakes data decisionsPrincipal product designer and design leader with 15 years building interfaces where misreading data carries capital, risk, and compliance consequences. Proven record establishing design systems with 300+ reusable components, running 500+ user-research sessions, and validating decision interfaces in code before engineering build to cut rework and catch logic errors early.
I build institutional decision intelligence that reveals the mechanism behind model output, keeps uncertainty visible instead of flattening it into false precision, and makes the next action defensible rather than merely confident. Deep strength in risk visualization, data visualization, and information architecture, with WCAG 2.1 AA accessibility throughout.
AI-fluent, with 4 Anthropic certifications.
Core capabilities
- Domains
- Fintech and capital markets UX · Trading and options interfaces · Compliance and RegTech dashboards · Payments and lending UX · Banking as a service (BaaS)
- Decision interfaces
- Decision intelligence · AI and ML decision interfaces · Risk visualization · Data visualization · Anomaly detection
- Systems
- Information architecture · Design systems architecture · Rapid prototyping and component libraries · Accessibility (WCAG 2.1 AA)
- Practice
- Product design and UX strategy · UX research and usability testing · Cross-functional team leadership · Stakeholder alignment · Agile, Scrum, and Lean UX
Experience
Principal Product Designer
S&C Advisory and Venture Studio
July 2026 to present
- Product design for fintech and AI decision interfaces, translating complex data and model output into clear, auditable product experiences.
- Built working React and TypeScript prototypes with AI coding agents so strategy ships as working logic rather than static specs.
- Aligned design decisions with business and engineering stakeholders to reduce rework and accelerate the path from insight to release.
Head of Product Design and UX
AI Media
October 2025 to July 2026
- Led product design for hardware-encoder solutions and digital product interfaces, assembling 4 interdisciplinary prototyping teams.
- Designed and prototyped updated software and hardware encoder solutions, validating flows through iterative user testing before build to cut onboarding friction and post-release rework.
- Established a Lean UX and Design Sprint practice that shortened design cycles and moved validated decisions into the build queue faster.
- Led user testing with 50+ participants and aligned design strategy with business goals, feeding validated requirements into the build cycle to reduce mid-sprint change requests.
AI-Augmented Product Designer
S&C Advisory
December 2024 to October 2025
- Delivered end-to-end product design for fintech clients using AI-assisted design and development workflows, focused on data visualization and decision support.
- Designed and prototyped a suite of 5 digital products for a fintech client using AI coding agents, delivering working coded prototypes instead of static specs to remove a spec-to-build rework loop.
- Developed data-visualization tools tracking financial-advisor career events, shipping a dashboard that made dense advisor data decision-ready in a single view.
- Conducted user testing with 30+ participants, refining features before build to cut late-stage change requests.
Product Designer
Tassat · Contract
October 2024 to December 2024
- Led product-redesign initiatives for a blockchain-based financial platform, modernizing legacy interfaces and validating the new flows with users before handoff.
- Conducted competitive analysis of 8 competitors and user research with 20+ participants to guide and validate design decisions.
- Collaborated in a 15-member cross-functional team, partnering with development to ensure technical accuracy of new features.
Independent Design Consultant
Self-employed
July 2023 to October 2024
- Selected fintech and enterprise UX engagements spanning digital product design, cross-functional leadership, and user-centered strategy.
- Led cross-disciplinary creative initiatives combining digital design, physical fabrication, and community-driven engagement.
UX Designer, Design Systems and Data Visualization
Jupiter Intelligence
January 2022 to July 2023
- Designed data-visualization tools for a climate-risk assessment platform serving enterprise clients, turning 22,000 probabilistic data points per asset into committee-ready views while keeping uncertainty legible for decision-makers. Read the Uncertainty as Signal case study.
- Pioneered day-one data prototyping: wiring live climate models and satellite imagery, Leaflet, and Esri directly into prototypes so designs held up against real, messy institutional data before engineering handoff.
- Established design-system standards with 100+ reusable components, cutting case study time and keeping the UI consistent across products; developed personas across 4 key segments informing product-roadmap priorities.
Independent Design Consultant
Self-employed
July 2020 to December 2021
- Advised US enterprise and fintech clients on design and product-delivery continuity through the 2020 to 2021 relocation of Eastern European IT talent, re-establishing distributed design and engineering teams in new locations.
- Reconnected relocated teams to client product roadmaps, preserving design quality and delivery momentum through the transition.
Senior Product Designer
ElectrifAi
December 2019 to June 2020
- Designed interfaces for AI and ML-powered analytics platforms, focused on big-data visualization and dashboard development.
- Built 8 dashboards serving 500+ daily active users; reduced time-to-insight from 15 minutes to 3 minutes through optimized visualization patterns and information architecture.
- Measurement method: task-completion time compared before and after the redesign, across those 8 dashboards and their 500+ daily active users.
Senior UX Designer
EPAM Systems
December 2010 to December 2019
Embedded on-site at UBS, CME/NYMEX, Thomson Reuters/Refinitiv, KKR, and Google.
- CME/NYMEX: designed interactive 3D visualizations of market volatility, helping traders and analysts read the surface and act on it faster. Read the Volatility Surface case study.
- Thomson Reuters/Refinitiv: built 200+ design-system components and ran usability testing with 100+ participants. Read the Know Who Knows case study.
- UBS: redesigned legacy financial tools aligned to NEO and Frontify platform standards, streamlining high-frequency trading-desk workflows.
- KKR and Google: designed user-centric interfaces for KKR financial products and collaborated with Google product teams via design sprints, launching 3 features.
Scale of work
These are activity and scope counts from prior roles, not product KPIs. They describe the size and shape of the work, not a measured outcome.
Component counts are cumulative published components in the enterprise design systems built at ElectrifAi/Jupiter and at Thomson Reuters/Refinitiv. The Jupiter figure is probabilistic climate-risk model output per asset location, surfaced in committee-ready disclosure views.
Selected evidence
9 case studies- Similarity Is Not Correctness AI governance · retrieval risk. A calibrated decision boundary where semantic similarity is not allowed to become unsafe action.
- Incline Trust AI finance operations · RegTech · compliance dashboard. AI expense-exception review that keeps model mechanism and uncertainty visible and welds each verdict to an immutable, auditable record.
- Volatility Surface Capital markets · options trading · CME/NYMEX via EPAM. Linked options-trading workspace holding one market context across surface, slice, grid, spread, and strategy views.
- Uncertainty as Signal Climate risk · risk modeling · Jupiter Intelligence. Disclosure platform turning 22,000 probabilistic data points per asset into committee-ready intelligence.
- North Bridge Private capital · public-safe case study. Reconstructed coverage portal unifying signal triage, company context, notes, and follow-up tasks into one connected workflow.
- Know Who Knows Talent intelligence · Thomson Reuters/Refinitiv via EPAM. Enterprise talent-mapping interface; roster, org-grid, and network views assemble a qualified team from a 200-person pool in under 4 minutes. That is a design target, not a measured result; no timed comparison against a manual process exists.
- What Gets Measured Clinical analytics · anomaly detection. Physician-benchmarking system across 101 physicians and 4 years of data, rebuilt as an exception-led command center.
- Decision Logic Before Build Clinical informatics · R&D prototype. Dual iOS and Android clinical prototype on one shared state machine; verified decision logic and caught 2 critical errors before production.
- HR as DJ, Staffing Radar Founder-built workforce-analytics product; designed the allocation model, system logic, and decision layer that turns staffing uncertainty into action.
6 of these case studies ship as working React and TypeScript prototypes covering risk visualization, anomaly detection, and decision-intelligence interfaces.
Education and certifications
M.S., Pattern Recognition and Systems Analysis, Belarusian State University of Informatics and Radio-Electronics, 2005.
- AI Fluency: Frameworks and Foundations, Anthropic, 2025
- Claude Code in Action, Anthropic, 2025
- Building with the Claude API, Anthropic, 2026
- Claude Certified Architect, Foundations, Anthropic, 2026
- Decision Making in a Complex and Uncertain World, University of Groningen
- Design Kit: The Course for Human-Centered Design, IDEO.org and Acumen
- Data to Insight: An Introduction to Data Analysis, University of Auckland
Tools
I design in Figma, and I do not stop at Figma. I use AI coding agents to turn strategy into working React and TypeScript prototypes, and Mermaid for declarative diagramming of decision flows, so teams build from working logic, not static specs.
- Design: Figma, FigJam, Sketch, Adobe Creative Suite
- Prototype: React, TypeScript, Vite, Tailwind CSS
- Data and graphics: Recharts, D3.js, Leaflet, Three.js
- Build: HTML, CSS, JavaScript, Storybook
- Diagramming: Mermaid
- AI coding agents: Claude Code, Refact.ai