Data & Applied Scientist 2

Do you want to shape the future of quantitative finance through innovative AI (Artificial Intelligence) solutions? We are looking for data scientists who want to apply deep learning techniques to solve real-world problems in quantitative finance.

We are a fast-paced team within Azure Global focused on building Industry-specific AI products. We are looking for an experienced data scientist with excellent problem-solving skills, and a passion to apply AI techniques to problems in the financial domain.

Responsibilities

As part of the role, you will work with a global diverse team of data scientists and engineers that apply machine learning and deep learning techniques (ranging from recommendation systems, natural language processing, reinforcement learning and more) for customers in the financial domain. You will be involved in incubating solutions and products for infusing AI in finance, from design to production.

To be successful, you will need strong software skills, technical aptitude, communication skills and a collaborative work style. Preferably, you have domain expertise in the finance domain, especially with quantitative approaches in capital markets. This is an excellent opportunity to challenge yourself, continuously grow new knowledge, and skills.

QualificationsREQUIRED QUALIFICATIONS

• 3+ years of experience in software development
• 3+ years of experience working with machine learning libraries and applying them to real-world data science problems
• PhD/MS or advanced level degree in CS/EE/Applied Mathematics/Statistics/DS/ML or related fields with knowledge in information retrieval, NLP, Machine Learning and Data Mining
• Proficiency in one statically typed language (C#, Java, C, C++)
• Proficiency in one scripting language (Python, NodeJS, Ruby, Perl)
• Familiarity with a version control system
• Strong theoretical and algorithmic knowledge with the ability to apply advanced knowledge on real world challenges

PREFERRED QUALIFICATIONS

• Experience in computational/quantitative finance, capital markets, risk assessment, investment portfolios etc.
• Experience using libraries such as quantlib
• Experience working with deploying of machine learning models
• Experience with deep learning libraries
• Experience working with real-world noisy data
• Demonstratable experience with software engineering principles, parallel and distributed computing, statistics, machine learning, cloud technologies like Azure, AWS, Google Cloud, IaaS, PaaS and SaaS

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.