Hire Quantitative Trading
Consultant VAs Without Management Overhead.
Keep your research focused on predictive alpha, factor modeling, and risk optimization without drowning in tick data sanitation. Deploy dedicated Quantitative Trading Virtual Assistants who handle historical market data ETL, backtest matrix execution (QuantConnect, VectorBT), broker API logging (Interactive Brokers, Alpaca), execution slippage analysis, and performance tear sheets—supervised by an internal Senior Project Manager at zero extra cost. You only pay for active working hours.
Continuous Quantitative Research Engine
Tick & Bar Historical Data Cleaning
Ingests Polygon, Alpaca, or Tiingo tick feeds, scrubbing corporate actions, survivorship bias, split-adjustments, and resampling time/volume bars.
Backtest Batch Execution & Walk-Forward Audits
Runs parameter grids across VectorBT and QuantConnect, compiling Sharpe, Sortino, Calmar, and maximum drawdown matrices across market regimes.
Live Order Fill, Slippage & Commission Logs
Reconciles daily execution logs from Interactive Brokers or CCXT against trade models, calculating realized slippage vs. arrival prices.
Free Dedicated Project Manager Oversight
Your dedicated PM acts as your single point of contact, ensuring data pipelines, script runs, and model documentation operate with zero clerical friction.
Pre-Trained in Industry-Leading Quant Stack
Our virtual assistants have daily proficiency across Python analytical libraries, backtesting environments, broker endpoints, time-series databases, and performance reporting tools.
What Your Quantitative VA Handles Daily
From compiling survivor-bias-free market datasets to running parameter walk-forward optimizations and drafting model tear sheets, our VAs absorb administrative load so quantitative analysts can focus on signal discovery.
Market Data Cleaning & Pipeline ETL
Pulls, parses, and cleans raw tick and bar data across equities, futures, FX, and digital assets. Adjusts for splits, dividends, contract rolls, and eliminates survivorship bias.
- Detecting bad prints, zero-volume bars & missing timestamps
- Resampling ticks into time, tick, or dollar volume bars
- Continuous contract stitching for commodity/index futures
Backtest Batches & Sensitivity Grids
Executes systematic backtesting runs across VectorBT, QuantConnect, or custom Python harnesses. Compiles parameter heatmaps, Walk-Forward analysis, and Monte Carlo iterations.
- Testing strategies across in-sample vs. out-of-sample regimes
- Auditing code for lookahead and data-snooping biases
- Documenting parameter stability and overfitting flags
Execution Slippage & Fill Analysis
Reconciles daily live trade fills against target model signals. Calculates implementation shortfall, VWAP/TWAP slippage, broker fee drag, and borrow rate impacts.
- Tracking market impact vs. order size percentiles
- Auditing broker commission tiers and exchange rebates
- Comparing simulated paper returns vs. live executed PnL
Strategy Tear Sheets & Performance KPIs
Generates comprehensive visual performance tear sheets using QuantStats or PyFolio. Compiles Sharpe, Sortino, Calmar ratios, Value-at-Risk (VaR), and underwater drawdown curves.
- Tracking rolling beta, correlation & benchmark alpha
- Tabulating monthly return heatmaps and win/loss win rates
- Formatting investor-ready pitch deck performance exhibits
Alternative Data Scraping & Calendars
Maintains ingestion webhooks for alternative datasets: SEC EDGAR 13F/8-K filings, FRED macroeconomic releases, earnings call transcripts, and sentiment metrics.
- Synchronizing economic calendar releases (CPI, FOMC, NFP)
- Scraping earnings announcement timings (BMO / AMC)
- Verifying web scrapers run without blocking or schema drift
Daemon Health, APIs & Model Specs
Monitors Linux VPS trading daemons, verifies broker API token freshness, audits cron task execution, and typesets mathematical strategy whitepapers in LaTeX.
- Tracking API heartbeat health & rate-limit headroom
- Documenting strategy logic, entry/exit rules & risk gates
- Archiving version-controlled Jupyter notebooks in Git
Unmanaged Freelancers vs. SageDoer Quant Model
Quantitative trading demands absolute IP confidentiality, mathematical rigor, and zero data errors that could corrupt capital allocation models. Here is why consultants choose SageDoer.
| Operational Metric | Traditional Freelance Platforms |
SageDoer Managed Model
|
|---|---|---|
| Platform & Management Fees | Up to 40% in hidden platform markups, escrow cuts, and retainers | 0% Hidden Fees. Pay strictly for hours worked. |
| Daily Team Management | Lead quant must personally micromanage, review code, and verify ETL accuracy | Dedicated Project Manager acts as your single point of contact (Free) |
| Quantitative & Market Data Competency | Generic VAs unfamiliar with lookahead bias, tick data, or Sharpe/Sortino formulas | Internally vetted specialists trained in quantitative data ETL and backtesting |
| Hiring & Deployment Speed | Weeks wasted reviewing resumes, testing Python math skills, and trial runs | Instant delegation. Pre-vetted specialist assigned within 24-48 hours. |
| Billing & Invoicing | Fragmented contractor invoices with fluctuating international conversion fees | Simple, unified, centralised USD invoicing |
| Staff Turnover & Absence | Work halts; backtest pipelines freeze and live execution logs go unmonitored | Seamless internal backup coverage with zero workflow downtime |
How We Deliver Results in 4 Simple Phases
Connect your research pipeline, data repositories, and backtesting parameters. Our fully managed team coordinates the rest.
Submit Requirements
Share your specific data sources, backtesting tools, and operational workflows with us. Reach out via Email, Form, or WhatsApp.
Finalise the Deal
Our dedicated project manager will promptly get back to you to review your goals, outline a tailored strategy, and finalise the partnership details.
Expert Execution
Your project manager takes full charge of the operations, getting the work done seamlessly and efficiently through our internal team of vetted experts.
Pay Only for Output
We log and charge exclusively for the virtual assistant's actual working time. Your dedicated project manager's supervision is completely free.
Hire Your Dedicated Quant Trading VA
Zero setup charges, zero profit cuts or carry percentages, and free dedicated Project Manager supervision included in every plan.
20 Hours Per Week • Est. $560 USD / Month (4 Weeks)
Ideal for independent quantitative researchers, algorithmic trading advisors, and boutique consultants needing daily tick cleaning, backtest runs, and tear sheets.
- Pay only for hours of pure work
- Dedicated Project Manager included
- Free management supervision
- Zero setup or onboarding fees
- No monthly membership charges
- Python, QuantConnect, IBKR & database ETL support
40 Hours Per Week • Est. $960 USD / Month (4 Weeks)
For scaling systematic hedge funds, proprietary trading firms, and multi-asset quantitative consulting teams managing continuous research pipelines working 8 hours/day.
- Pay only for hours of pure work
- Dedicated Project Manager included
- Free management supervision
- Zero setup or onboarding fees
- No monthly membership charges
- Priority rapid backup replacement coverage
What Systematic Traders & Quants Say
"Scrubbing tick data for survivorship bias and building continuous futures contracts was eating 15 hours of my week. Our SageDoer assistant built our automated TimescaleDB cleaning scripts and runs VectorBT backtests every night. Our research cadence tripled."
Arjun Sengupta, CFA
Managing Director, VectorAlpha Capital (New York)
"The free dedicated Project Manager is phenomenal. When our primary data assistant took scheduled leave during a major strategy rebalancing cycle, our PM coordinated an internal backup who reconciled our Interactive Brokers execution logs with zero downtime."
Lucas Henderson
Head of Quantitative Strategy, Apex Risk Advisory (London)
"Reconciling live order fills against our statistical arbitrage model used to feel like a chore. Our assistant calculates slippage vs. VWAP daily, tracks exchange fee tiers, and generates clean QuantStats tear sheets before our morning partner call."
Marcus Vance
Partner & Systematic PM, Horizon Prop Desk (Chicago)
"At $6/hr with zero platform markups and zero performance fee drag, SageDoer cut our research infrastructure cost by 70%. Best of all, our proprietary alpha formulas, trading signals, and client allocations remain 100% secured under strict legal NDA."
Elena Nygren
Founder & Principal, Sigmoid Quantitative Consulting (Zurich)
"Scrubbing tick data for survivorship bias and building continuous futures contracts was eating 15 hours of my week. Our SageDoer assistant built our automated TimescaleDB cleaning scripts and runs VectorBT backtests every night. Our research cadence tripled."
Arjun Sengupta, CFA
Managing Director, VectorAlpha Capital (New York)
"The free dedicated Project Manager is phenomenal. When our primary data assistant took scheduled leave during a major strategy rebalancing cycle, our PM coordinated an internal backup who reconciled our Interactive Brokers execution logs with zero downtime."
Lucas Henderson
Head of Quantitative Strategy, Apex Risk Advisory (London)
Frequently Asked Questions
Authentic answers about proprietary alpha security, backtest validation, broker API handling, and operational workflows.
How do you protect proprietary trading alpha, model formulas, and source code?
Can the VA code or debug backtesting pipelines and data cleaning scripts?
How does the VA ensure data integrity without introducing lookahead or survivorship bias?
What happens if my assigned assistant is unavailable during market opens or rebalancing?
Do you charge profit-sharing fees, performance carry, or software markups?
Ready to Accelerate Your Quantitative Research & Reclaim 20+ Hours Every Week?
Schedule a 30-minute discovery consultation with Samrat Pal or send your quantitative operations requirements below. We will match you with a vetted Quantitative Trading Virtual Assistant and begin onboarding immediately.
Tell Us Your Quantitative Support Needs
Our dedicated Project Manager will respond within 2 hours with candidate matches and quantitative workflow roadmaps.