【小象内推】美国道富科技，急招AI科学家！

工作地点：杭州                     

薪资范围：open

The AI Scientist -Officer will work with other AI agile team members through the phases of usecase data exploration and prototyping to the design, implementation and support deployment of the resulting AI services while focusing on scientific implementation and validation of quantitative financial models.

Responsibilities:

• Responsible for low level model and algorithm design, development, and validation by converting financial data and models to mathematical and computer science level design and implementation with consideration of space and time complexity.

• Integrate, customize, and train well known model and algorithm in open source libraries to solve financial market problem and perform validation and bug fixes.

• Work with a team of data scientist, machine learning engineer, financial modeler, software engineer, and model validation/QA engineer.

•Support IT integration, QA/UAT and deployment of AI micro services, operationalizing and productizing resulting models and AI solutions.

• Support production issue pertinent to model and algorithm including the ones used in open source libraries if any.

Qualifications:

• Master degree required (preferably in computer science, mathematical finance, and financial engineering).

• Solid background in mathematics including but not limited to statistics, probability theory, PDE, linear algebra, stochastic calculus, differential equations etc.

• 5+ years of solid modern, object-oriented or functional programming and design experience(Python, C++, SQL) .

• 3+ years of experience working as an AI/Data scientist.

• Familiar with major financial instrument, reference data, market data, investment and risk management concept.

• Familiar with traditional machine learning (regression, decision tree etc.) and deep learning neural network(CNN, LSTM etc.)

• Result driven, detail oriented, candid attitude

Experience in any of the following is highly desirable:

• Behavioral, time sequence, and outlier detection modeling experience

• Linux / Bash scripting, structured and unstructured data management tools (Oracle,

PostgreSQL, MySQL, KDB+, Hadoop, etc.)

• Continuous integration & development environments and tools (GIT, Maven, Jenkins, etc.)

• Communication skills. The ability to communicate at the right level with all parties involved,

including management and business stakeholders

• Passed Charted Financial Analyst (CFA) level 1 examination