最新2020DATA岗位职位来袭

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1

Data Analyst Intern

Job Type: Internship Location: Chicago, IL

Responsibilities • Create and manage enterprise data models with logical and physical views • Build, manage, and maintain a data dictionary and data lineage for various functional areas of business and applications • Collect, organize, and analyze data using data profiling and data analysis tools such as Talend, Informatica, or by writing custom SQL queries • Ingest data from disparate systems using data integration tools or writing custom code in SQL, Python, or other scripting languages • Identify, analyze, and interpret trends or patterns in complex data sets. • Work with the functional business area to identify, gather, investigate, and document business processes related to data architecture • Visualize data insights using data visualization tools such as Tableau, Power BI, or QlikView. • Perform root-cause analysis to understand data problems and find solutions by understanding user requirements. • Understand use of a data cleansing tool or package such as Talend, or able to write SQL scripts to clean data where necessary. • Cleanse data using technical and business validation rules. • Build an inventory of data needed to implement the architecture • Perform other duties as assigned Qualifications • Strong database querying competency using SQL • Ability to develop data visualization dashboards in Tableau, Power BI, or QlikView • Excellent knowledge of using statistical packages for data mining using R, Python, Spark ML, or Azure ML • Bachelor’s Degree in Computer Science or Computer Engineering • 3 years experience in a data analyst role • Ability to collaborate effectively and work as part of a team • Strong attention to detail • Understand the fundamental concepts of object oriented programming

2

2020 Market Data Analyst Summer Internship

Job Type: Internship Location: Princeton, NJ

Responsibilities • Gain hands-on exposure to our systems, processes, clients and the financial markets • Discover how we maintain the standards of accuracy and timeliness for which our data is famous for • Carry-out real projects that have an exponential impact on our systems and clients • Learn how we assist our clients with data-related queries • Receive in-depth training in the areas of terminal navigation, computer scripting languages and professional development skills all from world-class professionals. • You can also expect to be mentored by one of our experienced Analysts throughout the 10-week internship and we will make sure that you are given feedback to continue to develop your skills and expertise. Qualifications • Demonstrated project/work experience using one or more programming language (e.g. Python, JavaScript, SQL, etc.) • Prior coursework or involvement within a field like Informatics, Mathematics, Economics, Business or other applied sciences • Prior coursework or interest in the financial markets Extracurricular activities in addition to coursework • Effective written and verbal communication skills • Project management and organizational skills • Strong aptitude for problem-solving, plus the drive to think creatively • Currently enrolled in a university with a graduation date between December 2020 and May 2021 • Available to work for the whole duration of 10 weeks from June 1st – August 7th 2020

3

Intern – Information Technology – Data Analytics

Job Type: Full-time Location: Austin, TX

Responsibilities • Responsible for creating the data pipelines using SQL, Python, Informatica, SDI • Working with structured and unstructured data and loading into Hadoop and SAP HANA • Creating the BI & Analytical reports using SAP BOBJ & • Tableau based on business needs • Creating Machine learning models for predictive analytics. Qualifications • Currently enrolled in a Bachelors or Masters degree program in Computer Science, Computer Engineering, Data Analytics or relevant field. • Excellent knowledge of Data Architecture and BI concepts • Expertise in SQL and Python • Familiarity with Hadoop, SAP HANA • Working knowledge of Tableau and SAP BOBJ is a plus • Familiarity with Machine Learning models. • Working knowledge of SQL and Python • Familiarity with Big Data Infrastructure • Familiarity with Machine learning models • Good Analytical and trouble shooting skills

4

Data Science Consultant

Job Type: Internship Location: Remote

Responsibilities • Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner; • Execute and teach application of statistical and data mining techniques (e.g. hypothesis testing, machine learning and retrieval processes) on large, unstructured data sets to identify trends, figures and other relevant information; • Lead conversations with clients and other colleagues to effectively integrate and communicate analysis findings; • Evaluate emerging datasets and technologies and help define our analytic platform; • Contribute to thought leadership through research and publication; Qualifications • This is an entry-level position, a Bachelor or Master’s degree in quantitative discipline is preferred. Candidates from other areas with great skillsets are also welcome. • Understanding of statistics (e.g., Bayesian, Frequentist, etc.); extensive experience with running statistical analyses using a variety of methods to drive decisions. • Professional experience with advanced regression analysis, probabilistic modeling, and/or machine learning / predictive analytics, including the ability to use tools like Python, R, etc. • Understanding of relevant tools/platforms (e.g. database systems); • Understanding of Agile project planning and project management; • Team management and skill development experience; • Excellent oral and written communication skills; • Strong attention to detail, with a research-focused mindset; • Excellent critical thinking and problem-solving skills; • High motivation, good work ethic and maturity.

5

Quant/Data Science

Job Type: Internship Location: New York, NY

Responsibilities • Data collection and analysis of securities (as well as crypto currencies) and investment positions. • Building pattern recognition models that identify attractive and unattractive stocks using systematic multivariate frameworks. • Perform independent validation of analytical models and frameworks, including assessment of conceptual soundness of models, proper application of statistical theories, evaluation of data and assumptions, and performing outcomes analysis (e.g. back-testing and benchmarking). • Understanding of traded products, an appreciation of market risk methodologies and the underlying data challenges. Qualifications BS/MS in quantitative discipline from a top-rated university. Solid mathematical background and knowledge of finance, math, statistics, economics principles. Experience performing statistical analysis and knowledge of econometrics. Programming/computational background with working knowledge of Python/Matlab, Excel/VBA, C++, and SQL.Previous use of financial data-sets for personal investing exploration. Understanding of securities analysis(balance sheet and income statement analysis), valuation and earnings forecasting methods. Methodical, diligent, and systematic in approach to problem solving and model building. A self-starter able to research independently and also demonstrate strong interpersonal skills and work ethic. Necessary to communicate and interact within a team-oriented environment.

6

Data Engineering Intern

Job Type: Internship Location: New York, NY

Responsibilities •  Improve and extend fault-tolerant data pipelines to integrate large amounts of data from many diverse storage systems. •  Share knowledge by clearly articulating results and ideas to customers, managers, and key decision makers. •  Stay current with the latest research and technology and communicate your knowledge throughout the enterprise •  Take responsibility for preparing data for analysis and provide critical feedback on issues of data integrity Qualifications • Degree Level: BS or MS in Computer Science or other  engineering discipline • Very strong programming skills in Scala, Java or Python • Good communication and team working skills

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