Algo Trading Quant – Advanced Analytics for Rates Trading

BBVA; Madrid; Presencial; EUR 60.000 - 80.000; Jornada completa

Descripción de la vacante

A global financial institution in Madrid seeks an experienced Algo Trading Quant to develop cutting-edge trading algorithms. The ideal candidate will have a Master's degree in a quantitative field and at least 4 years of experience in algorithmic trading or quantitative research. Responsibilities include building market-making algorithms, collaborating with traders, and analyzing performance. This role is full-time and offers opportunities to innovate in a dynamic environment.

Formación

• Minimum 4 years in quantitative research, algorithmic trading, or data science role in finance.
• Strong understanding of financial markets preferred.
• Proficiency in stochastic calculus, Bayesian methods, and optimal control theory is a plus.

Responsabilidades

• Design and implement models for pricing insights.
• Build and refine market-making and execution algorithms.
• Develop predictive indicators based on market trends.
• Create frameworks for performance analysis.

Conocimientos

Customer Targeting

Empathy

Ethics

Innovation

Proactive Thinking

Educación

Master’s degree in Physics, Mathematics, Statistics, Engineering, or Computer Science

Herramientas

Python

Java

KDB / Q

Hadoop

Spark

Descripción del empleo

Excited to grow your career

BBVA is a global company with more than 160 years of history that operates in more than 25 countries where we serve more than 80 million customers. We are more than 121,000 professionals working in multidisciplinary teams with profiles as diverse as financiers, legal experts, data scientists, developers, engineers, and designers.

Learn more about the area

At C&IB Global Markets our Advanced Analytics & Algorithmic Trading team is at the forefront of transforming our business into a more scientific and data‑driven enterprise.

About the job

We are seeking a highly skilled Algo Trading Quant to join our efforts in building a cutting‑edge suite of trading algorithms for our Rates Flow Desks in Madrid. As part of our team you will have the opportunity to work on impactful initiatives that blend quantitative finance with advanced technology, including:

• Development of Advanced Analytics Models: Design and implement models to estimate fair value, market liquidity, optimal bid‑ask spreads, hedging strategies, and other pricing insights for rates flow instruments.
• Algorithmic Trading: Build and refine market‑making and execution algorithms using scientific methodologies such as stochastic optimal control, machine learning, and reinforcement learning.
• Signal Generation: Develop predictive indicators and alpha signals based on market trends, volatility, volume, inflation metrics, and other relevant features.
• Performance Analysis: Create robust frameworks for ex‑ante (backtesting) and ex‑post (P&L attribution) evaluation of models and algorithmic strategies.
• Trader Collaboration: Work closely with rates trading desks in Madrid, London, and New York to understand their business goals, translate those into quantitative models, and iteratively refine your solutions based on trader feedback.

Ideal Candidate Profile

We are looking for a candidate with strong quantitative acumen and a passion for applying data science to financial markets. You should possess:

• Education: A Master’s degree in Physics, Mathematics, Statistics, Engineering, or Computer Science.
• Experience: 24 years in a quantitative research, algorithmic trading, or data science role within the financial industry or a similarly rigorous environment.
• Market Knowledge: Solid understanding of financial markets. Familiarity with flow rates trading instruments and strategies is a plus.
• Mathematical Fluency: Ability to conceptualize and communicate complex ideas in mathematical terms. Proficiency in stochastic calculus, Bayesian methods, and optimal control theory is a strong plus.
• Programming Skills: Proficient in Python and object‑oriented languages such as Java.
• Knowledge of KDB / Q is highly valuable.
• Data & ML Tools: Experience with common machine learning libraries and big data technologies such as Hadoop and Spark.
• Soft Skills: Entrepreneurial mindset with the initiative to identify and pursue opportunities; ability to work under pressure and deliver results in fast‑paced environments; strong communication skills in English (Spanish is a plus but not required).

Why Join Us

You will be part of a dynamic team shaping the future of algorithmic trading within a growing investment bank. You will gain hands‑on experience working on mission‑critical systems, be empowered to innovate and see your solutions have a real impact on the business.

Skills

• Customer Targeting
• Empathy
• Ethics
• Innovation
• Proactive Thinking

Key Skills

• Adobe Analytics
• Data Analytics
• SQL
• Attribution Modeling
• Power BI
• R
• Regression Analysis
• Data Visualization
• Tableau
• Data Mining
• SAS
• Analytics

Employment Type

Full‑Time

Vacancy

1