Maria Dmitrieva

Product Manager

Dubai, United Arab Emirates9 yrs 2 mos experience

Highly Stable

Key Highlights

Led high-impact projects in HFT and DeFi.
Built trading infrastructure with measurable PnL impact.
Expert in data-driven product strategy and risk management.

Stackforce AI infers this person is a Fintech expert with strong capabilities in quantitative analysis and algorithmic trading.

Contact

Skills

Core Skills

Algorithmic TradingProduct StrategyData EngineeringQuantitative Risk AnalysisData ScienceOptical EngineeringTheoretical Physics

Other Skills

Analytical SkillsApplied MathematicsBack Office OperationsBacktestingBusiness DevelopmentChange ManagementCross-Functional Team LeadershipCross-Functional Team ManagementDerivativesEngineering ManagementFundamental AnalysisLiquidity Risk ManagementMarket PricingMarket RiskMathematical Modeling

About

Quantitative leader with 6+ years of cross-functional experience at the intersection of finance, data, and product strategy. Led high-impact projects in HFT, DeFi, and risk management across global markets. Built trading infrastructure, automated risk pipelines, and liquidity strategies with measurable PnL impact. Comfortable driving product roadmaps, aligning stakeholders, and managing cross-functional teams. Passionate about data-driven products, systems thinking, and solving complex problems in high-stakes environments.

Experience

Bhft

Senior Quant & Product Manager — Trading & Risk Systems

Sep 2023 – Jan 2025 · 1 yr 4 mos · United Arab Emirates · Remote

Developing and set up algorithms for trading in classic and cryptocurrency markets
Built end-to-end data infrastructure for trading, treasury, and risk management, including back/middle office components (PnL, exposure, Greeks, margin levels, strategy monitoring). The system increased fund revenue by 34%
Designed and implemented Position Keeping and real-time monitoring system using SQL and Python (Pandas,Dash, Tableau), serving Risk, Trading, and Treasury teams
Created automated data pipelines for real-time reconciliation and reporting, significantly reducing manual effort
and increasing data reliability
Led MVP development of a liquidity provisioning strategy on Uniswap v3 (ETH/USDT), achieving 11% APR during live testing
Developed a backtesting framework to analyze execution quality and optimize trade efficiency based on historical
transaction data
Managed 3+ developers and coordinated delivery between Trading, Risk, and Ops teams
Owned product lifecycle from roadmap to production, aligning business goals with technical execution

Algorithmic TradingBusiness DevelopmentBacktestingCross-Functional Team ManagementData EngineeringEngineering Management+1

Raiffeisen bank russia

2 roles

Senior Quantitative Analyst

Promoted

Apr 2021 – Sep 2023 · 2 yrs 5 mos

Validated algorithmic trading systems after a $1.8M internal loss: reverse-engineered trading core, audited 3 vendor gateways, and co-developed C++ risk-check library to monitor latency, data quality, and integrity with <50ms overhead
Built bank-wide liquidity modeling platform, integrating real-time transactional data from 7 systems and forecasting behavioral flows across 1M+ retail clients using time-series models (StatModels, Python, SAS); deployed on Hadoop cluster

Liquidity Risk ManagementMarket PricingRegulatory ComplianceMarket RiskData ScienceDerivatives+1

Quantitative Analyst

May 2019 – Apr 2021 · 1 yr 11 mos

• Built automated pipeline for collateral management under ISDA/CSA agreements: extracted 50+ legal and operational covenants from scanned and typed agreements using OCR + NLP (Keras, TensorFlow, Python), integrated into 5+ internal systems (PostgreSQL), and created validation tooling to support manual/legacy contract processing across 100+ agreements

Python (Programming Language)Quantitative Risk Analysis

Worldquant

2 roles

Data Science Intern

Dec 2018 – May 2019 · 5 mos · Hybrid

· Built numerous complex and secure asset management strategies with optimal risk-return ratio to maximize company's revenue
· Performed analysis of financial datasets

Python (Programming Language)Problem SolvingAlgorithmic TradingPortfolio ManagementMathematical Modeling

Research Consultant

Dec 2017 – Oct 2018 · 10 mos · Moscow, Moscow City, Russia · Remote

Creating and testing trading strategies (”alphas”) for equity market on the platform WebSim.

Problem SolvingAlgorithmic TradingTrading SystemsFundamental AnalysisQuantitative ResearchTechnical Analysis

Ledel

Senior Optical Engineer

Sep 2017 – Sep 2018 · 1 yr · Kazan, Tatarstan, Russia · On-site

Development of a production line for optics that covered 65 percent of total factory output:
Mathematical modelling of aspherical optics
Managed the documentation development
Conducted business correspondence with optical material manufacturers
Worked in international industry exhibitions as an expert (Frankfurt, Hong Kong)

Python (Programming Language)Optical EngineeringApplied Mathematics