- Financial Analyst
Qualifications
•Master/Bachelor student major in Financial Engineering, Finance, Math, Statistics, or Economics
•Familiar with Python in financial modeling; Matlab, R, SAS is a plus
•CFA / FRM certification is a plus
•Experience in working with financial modeling/actuarial modeling in internship or academic projects is a plus; Experience in working with large quantities of data from data providers (Bloomberg, Reuters, Wind, etc) is a plus; Experience in largescale databases and data modeling and management is a plus;
•Understanding of machine learning algorithm and large scale data processing methods strongly preferred;
•Strong written and verbal communication skills in both English and Chinese.
What You'll Do
•Designing, testing and demonstrating and various financial models using different computer programming languages, mathematics, and statistical methods.
•Building the financial tools and creation of financial products.
•Planning, directing, and coordinating large-scale data processing, system analysis, and other important activities.
•Deal with the financial calculations and credit risk management.
- Business Analyst
Qualifications
•Master /Bachelor student major in in Finance, Financial Engineering, Math, Statistics, Economics or Computer Science;
•Strong written and verbal communication skills in both English and Chinese, especially good at English speaking, listening and writing.
•Familiar with general IT and financial concepts;
•Familiar with SQL and NoSQL, Python and C++; Matlab, R, SAS is a plus; Experience in working with financial analytics or financial / technology project is a plus; Fintech project experience is a plus;
•Understanding of machine learning algorithm and large scale data processing methods strongly preferred.
What You'll Do
•defining, analyzing and documenting project requirements, prioritize requirements and create conceptual prototypes and mock-ups;
•Translating requirements for the team, and apply best practices for effective communication and problem-solving; Coordinate with the Senior PM, department heads, supervisors and managers to solicit cooperation and resolve the problems;
•Reviewing of project plans to coordinate project activity and further develop project goals, policies, and procedures; hold regular meetings to keep all interested parties updated in project progress.
•Evaluating the organization's technology use, thus recommending improvements in software applications and hardware instruments
- Data Scientist
Qualifications
•Master/PhD student majorin Engineering, Computer Science, Mathematics, Statistics, Physics, Economics, or Financial Engineering;
•Knowledge of linear algebra, partial differential equations, Bayesian statistics, and boundary value problems preferred
•hands-on work experience in Data Science and Analytics or project experience in Machine Learning or Business Intelligence
•A solid grasp of predictive models and complex descriptive analytics, clustering and market based analysis
•Fluency with statistical and machine learning algorithms such as decision trees, neural networks, collaborative filtering, clustering, survival analysis, graph theory, etc.
•Experience with a programming language (e.g. Python, Java, C++) and a statistical software (e.g. R, Matlab, SAS, Stata); Understanding of large scale data processing methods (MapReduce) strongly preferred
•Experience utilizing at least one of the following structured data sources (SQL, My SQL, MS SQL Server) required; Experience with non-structured data (Hadoop, noSQL) strongly preferred
•Ability to solve complex analytical problems using quantitative approaches with a unique blend of analytical, mathematical and technical skills required
•Distinctive problem solving and analysis skills, combined with impeccable business judgment
•Strong problem-solving skills and trouble-shooting skills. Anticipate, identify, track and resolve issues and risks affecting own work and work of the project team
•Entrepreneurial interest and business sense.
•Strong written and verbal communication skills in both English and Chinese.
•General understanding of financial concepts is preferred.
What You'll Do
•Perform large-scale statistical research, analysis, and modeling of digital data to support forecasting and business planning
•Development and continuous improvement of predictive models related to product performance and reliability utilizing a combination of structured and unstructured data, data mining, machine learning, and statistical analysis
•Perform state-of-the-art research into deep learning approaches and methodologies
•Work with colleagues to develop and deploy useful data products and data driven software as required