Banking, investment products, brokerage and asset management.
FINTECH · DATA · QUANTITATIVE RESEARCH · AI
Financial markets, data and technology — brought together to solve real problems.
I combine deep financial-market experience with hands-on data work, AI-assisted development and project leadership.
Hands-on experience with equities, futures, options and crypto derivatives.
Market datasets, pipelines, QA, analytics, automation and ML research.
Cross-functional product and project work from idea to production.
ABOUT
A finance professional who learned to build with data and AI.
My career has covered financial markets from several angles.
In recent years I have added another layer.
EXPERIENCE MAP
BankingFinancial products
BrokerageBusiness & products
Asset MgmtProfessional portfolios
TradingEquities & derivatives
Data & AIAutomation & modelling
Quant ResearchMarket data & execution
FINANCIAL MARKETS & FINTECH
Understanding the business behind the market.
01
Banking & investment products
Worked in different banks and investment businesses.
02
Brokerage business
Experience ranges from building brokerage directions from the ground up.
03
Asset management & trading
Managed assets in a non-state pension fund environment.
DATA & AI-ASSISTED DEVELOPMENT
From raw data to a working analytical system.
I use Python and modern AI tools.
What I work with
- Large financial and market datasets
- Data validation and QA
- Research and feature pipelines
- ML and time-series experiments
How AI helps
- Faster coding and prototyping
- Architecture and debugging support
- Automated research workflows
- Documentation and reporting
TYPICAL WORKFLOW
Acquire
Validate
Model
Test
Audit
Decide
AI accelerates the workflow; methodology, causality and validation remain controlled.
QUANTITATIVE & ALGORITHMIC RESEARCH
Current focus: market data, microstructure and economically meaningful moves.
Market microstructure
Full order logs, order lifecycle, reconstructed books.
Economic move research
I focus on market states that may precede meaningful moves.
Execution modelling
Spread, slippage, market impact and capacity.
Machine learning
Tabular baselines and sequence models.
A statistically interesting signal is not a strategy until it survives out-of-sample testing, execution modelling and costs.
SELECTED ACHIEVEMENTS
Work I am particularly proud of.
Professional portfolio responsibility
Managed assets within a non-state pension fund structure.
Built and developed brokerage directions
Worked on brokerage businesses from design to production.
Led complex multi-team initiatives
Coordinated multiple teams and resolved bottlenecks.
Built an independent market-data research stack
Created reproducible research workflows for futures and crypto derivatives.
Built a consumer mobile-product project
Developed a tourism mobile application project.
Turned negative findings into decisions
I deliberately close weak ideas rather than force a backtest.
SELECTED PROJECTS
Different projects, one common pattern.
01
MonoQuant Research
Independent quantitative research initiative
My current research program around financial markets.
02
Research Automation & Data Pipelines
Repeatable workflows
Data ingestion, validation, feature generation and reporting.
03
Brokerage Business & Product Development
From launch to product evolution
Experience across brokerage launch and product evolution.
04
Tourism Mobile Application
Consumer product project
A mobile application project for travellers.
HOW I WORK
Complexity is useful only when it earns its place.
Define the real problem
Clarify the problem.
Make the data trustworthy
Validate the data.
Test simple explanations
Use baselines and controls.
Scale model complexity
Move to ML when justified.
Try to break the result
Use OOS, nulls and QA.
Check economics
Prediction is not enough.
RESEARCH / BLOG
Notes on markets, data, execution and research methodology.
OPEN TO COLLABORATION
I am flexible about the format.
Join a team without changing my primary focus
A good fit for data, FinTech and research roles.
Solve a specific problem
Brokerage, data, research and project consulting.
Deliver a scoped piece of work
Data analysis, automation and prototypes.
Build something together
I am open to research and entrepreneurial collaboration.
I am not looking for one specific job title.
CORE SKILLS
What I can bring into a project.
Financial markets
BrokerageAsset ManagementTradingEquitiesFuturesOptionsCrypto Derivatives
Data & quant
Data AnalysisQuant ResearchMarket MicrostructureOrder FlowBacktestingExecution ModellingTime SeriesMachine Learning
Technology
PythonAPIsData PipelinesAutomationResearch QAAI-Assisted Development
Leadership
Product ManagementProject ManagementBusiness AnalysisRequirementsCross-functional Leadership
CONTACT
Have an interesting problem or project? Let’s talk.
The easiest way to reach me is by email or LinkedIn.
Emailidjiman1891@gmail.comLinkedInlinkedin.com/in/dmitry-panterowsky-4a2239433
Best-fit topics: FinTech, brokerage, trading systems, financial data and quantitative research.