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Elias Dève

Elias Dève

Equity Synthetics Trader

J.P. Morgan

Technologies

My Portfolio Highlights

My New Track

Finance Fundamentals

My New Course

Introduction to Python

Data painter, using visualization to bring insights to life.

My Work

Take a look at my latest work.

course

Introduction to Python

DataLab

Course Notes: Introduction to Financial Concepts in Python

DataLab

Competition - Analyzing Crimes in LA

My Certifications

These are the industry credentials that I’ve earned.

Other Certificates

Yale University Financials Markets

Datacamp Finance Fundamentals in Python

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

My Work Experience

Where I've interned and worked during my career.

J.P. Morgan | May 2026 - Present

Equity Synthetics Trader

N/A

AKO Capital | Oct 2025 - Mar 2026

Quantitative Researcher

- Engineered alpha factors with LLM text embeddings and ML models, integrating feature selection, regularization, and cross-sectional testing for systematic investment strategies over earnings prediction - Developed predictive models for earnings drift using NLP-derived sentiment and non-linear estimators - Focused on signal construction, feature pipelines, and systematic strategy iteration for the Hedge Fund
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Goldman Sachs | Jun 2025 - Aug 2025

Global Markets - Summer Analyst

- Rotated across trading desks: ETF One-Delta, Systematic Market-Making, Equity Derivatives, EM Volatility, and G10/EM FX Vol desks, gaining exposure to delta-one products, options, and volatility trading - Built quantitative trading tools: Leveraged ETF hedging optimizer, cross-asset futures positioning dashboard, and an IV/RV macro and options analyzer for event decomposition and regime identification - Worked with a cross-asset strat desk on systematic and discretionary strategies across FI, commodities, and equities, including research and implementation of a systematic vol strategy

BPCE | Mar 2024 - Aug 2024

Quantitative Analyst

- Performed detailed portfolio analytics across credit and leveraged-finance books, including exposure mapping, risk-factor decomposition, scenario analysis, and RWA modelling - Built analytics pipelines and quantitative tools (enhanced scoring model, risk-factor diagnostics, automated dashboards) and delivered systematic risk reports used by senior management for portfolio management

Crédit Agricole Assurances | Sep 2021 - Oct 2023

Data Scientist

- Led development of a real-time performance monitoring platform with anomaly detection - Automated alerting systems, reporting pipelines, and dashboards used for low-latency decision-making - Developed ML models to predict performance degradation and failures, improving early-warning detection

My Education

Take a look at my formal education

Master in Finance in Market FinanceESSEC Business School | 2026
Master of Engineering in Computer Science & Machine LearningISEP - école d'ingénieurs du numérique | 2023
CPGE MPSI | Preparatory school for French Engineering School in MathematicsISEP - Stanislas | 2020
French Baccalaureate in MathematicsLycée Marcelin Berthelot | 2018

About Me

Elias Dève

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