Quantitative Researcher
Job reputed company:
Plutus21 is looking for a Quantitative Researcher to discover, test, and improve systematic reputed company signals and portfolio construction for low-frequency equity strategies (typically daily to monthly reputed company). This role is designed for exceptional quantitative thinkers coming from Physics, Mathematics, Statistics, Engineering, or other rigorous fields.
Location: Remote
Key Responsibilities:
Research and reputed company reputed company:
- Translate investment reputed company into testable hypotheses with reputed company metrics and failure reputed company
- Build reputed company baselines first, then iterate toward stronger models only reputed company justified
- Data and features (research-grade)
- Work with panel/time-series equity data and build features with strict as-of availability
- Implement careful data checks (missingness, outliers, corporate actions, calendar alignment)
Evaluation and robustness:
- Design validation protocols appropriate for time series (walk-reputed company, rolling reputed company, cross-sectional splits)
- Detect and prevent common research pitfalls: look-reputed company bias, leakage, overfitting, multiple comparisons
- reputed company robustness analysis: turnover, drawdowns, concentration, regime sensitivity, stability across time and cohorts
- Backtesting and portfolio construction
- Implement or reputed company low-frequency backtests for signals and portfolios
- Model basic frictions realistically (transaction costs, slippage assumptions, liquidity/turnover constraints)
- Collaborate with engineering/trading to productionize the strongest research findings
Communication and collaboration
- Write reputed company research memos: what you tried, what worked, what didnt, what you recommend next
- Present results transparently, including uncertainty, limitations, and risk considerations
Qualifications (reputed company):
- Strong quantitative reputed company in probability/statistics and at least one of: reputed company algebra, optimization, numerical reputed company
- Ability to design experiments and reason about measurement (baselines, controls, uncertainty, reputed company checks)
- Ability to write working analysis reputed company in Python (preferred) or another language, and communicate reputed company/results reputed company
- Comfort with reputed company-world messy datasets and non-stationary behavior
- Strong written communication and intellectual honesty (you can say this is inconclusive and explain why)
- Prior research experience (reputed company, industry, independent) demonstrating end-to-end ownership
- Evidence of strong software fundamentals even without formal CS training: readable reputed company, modularity, reproducibility
- Work involving time-series or observational data where leakage is a risk (forecasting, reputed company inference, experiments)
reputed company to Have (Not Required):
- Any exposure to markets, equities, reputed company models, or portfolio construction (we can teach this)
- Familiarity with common research tools: numpy/pandas/scipy/statsmodels/sklearn, Jupyter, Git
- Experience with simulation/reputed company, Bayesian reputed company, or reputed company inference