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Data Scientist Vice President
hace 1 mes
Data Scientist Vice President
Apply remote type: Hybrid
Locations: 28050, MADRID, Madrid
Time type: Full time
Posted on: Posted 2 Days Ago
Time left to apply: End Date: November 4, 2024 (4 days left to apply)
Job requisition id: JR00055589
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:
Advanced Analytics & Algorithmic Trading is a team within Global Markets focused on leveraging data to automate trading processes through intelligent algorithms and generate actionable market and client insights. The team spans across three major asset classes: Equities, Fixed Income, and FX, developing and deploying reusable solutions across geographies and products.
About the job:
We are seeking a talented Data Scientist / Data Engineer to expand our capabilities in efficiently implementing data-driven models and trading algorithms. In this role, you will:
Collaborate with Data Scientists to create well-structured and efficient code for trading indicators, machine learning models, and trading algorithms.
Promote best practices in software development and code quality within the team.
Act as a key liaison with IT to enhance our data integration and algorithmic trading platforms.
Develop scalable, reusable solutions that can be applied across all branches of Global Markets.
Qualifications:
Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
Experience in the financial industry or a strong interest in finance and trading.
Proven track record of working on data-driven projects, ideally within a quantitative environment.
Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.
Technical Skills:
Proficiency in programming languages such as Python, Java, and/or Q.
Strong knowledge of time-series vector databases like KDB+ and/or data manipulation tools like Pandas, SQL, and Spark.
Experience with version control systems (e.g., Git) and software development best practices.
Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
Experience with cloud platforms (e.g., AWS, Azure, GCP) is a plus.
Languages:
English: High. Required.
Spanish: High. Valuable.
Professional experience:
At least 5 years of related work experience.
If you are passionate about data, finance, and the intersection of technology and trading, we'd love to hear from you.
Skills:
Computer Software Programming
Data Parsing
Kdb+
Send your CV
Don’t miss any opportunity and upload your CV You will join our Talent Community so that we can send you future opportunities that match your profile.
We are more than 121,000 colleagues across 25 countries, working in multidisciplinary teams where we understand the importance of work-life balance. We support our clients in the energy transition and are committed to inclusive growth. We are pioneers in adopting disruptive technologies that will shape the financial industry. Dare to define the future of banking
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