有个跟我们Odyssey合作了很多年的AI科技公司，老板哭着闹着找我们帮他们单独发个招聘说我们老是给Capital One啊，Barclays这些公司招人，都不帮他们招今天就给大家好好介绍一下这个公司以及他们招人的岗位和要求！
Our company is an AI-driven quantitative investment research company which uses Big Data & Artificial Intelligence to generate timely and actionable alternative data, policy-making and sustainable investment insights for institutional investors, hedge funds, multinational corporations and governments.
Our core team and advisors include former quantitative portfolio managers and PhD scientists affiliated with the Lawrence Berkeley National Lab, Stanford University, Columbia University, NYU and other world-class research institutions. Also, our core team has extensive experience working in senior roles at some of the world’s largest quantitative hedge funds and financial institutions such as UBS, Goldman Sachs, Deutsche Bank, DE Shaw, among others.We have a strategic partnership with the Lawrence Berkeley National Laboratory, one of the world’s largest supercomputing laboratories . In addition, we was selected to be part of the Global Action Platform on Catalytic Finance at the United Nations Global Compact / PRI to bring innovative solutions for the Sustainable Development Goals (SDGs) and we collaborate with the UN and other institutions on strategic big data, sustainability and data science projects.这个公司，看资质是非常让人心动的，接下来看看他们有哪些岗位招人吧！
offer必须得有，还可出具实习证明、推荐信，支持背调！• As a data analytics intern, you can build the skillset for leveraging data to solve real-world problems.• Data analyst interns provide vital business support by extracting,mining, cleaning, and analyzing data.• Build data-driven dashboards and visualizations that help draw insights and make decisions using data across the financial, digital marketing, sustainability and other fields.• Develop hands-on data analysis and modeling experience,database management experience,and familiarity with basic programming languages such as SQL and Python.• Apply various forecasting tools, including statistical and machine learning techniques • Analytical skills; critical thinking skills; attention to detail• Tableau, Power BI or other visualization packages• Knowledge of Python and SQL• Quantitative and qualitative skills• Being able to analyze data, generate insights and identify trends• Demonstrated interpersonal, verbal and written communication skillsINVESTMENT STRATEGIES/QUANTITATIVEFINANCE & MACHINE LEARNING• Usestatistical and machine learning models to implement quantitative and systematic investment strategies, including long-only, long-short market neutral, global macro, trend following, event-driven, sector rotation, bottom-up fundamental, among ot• Extract, filter and analyze financial, macroeconomic, earnings, credit and other data types and models which will be used as input for the investment models.
• Implement portfolio construction and optimization models such as Mean Variance, Risk Parity, Black Litterman, among others.• Back test and evaluate the performance of different machine learning techniques and investment strategies. Perform paper-trading and real-time simulation of systematic strategies.• Machine Learning and Data Science,• Ability to extract, filter and synchronize structured and unstructured dataDATA SCIENCE AND MACHINE LEARNING• Tasks will include extracting, filtering, synchronizing and analyzing large amounts of asynchronous data, both structured and unstructured.
• Utilize stateof theart machine learning and Natural Language Processing methods to process and quantify large amounts of unstructured data and transform it into a format that can be used for various applications, including systematic investment strategies, digital marketing, among others.• Use Deep Learning and reinforcement learning to analyze and derive insights from Satellite data, text and other complex unstructured data from thousands of sources.• Implementation and optimization of data collection methods, including webs rapping, API queries, and other methods using existing taxonomies for Natural Language Processing queries.• Optimize large-scale time series databases using SQL, Hadoop, Mongo DB, Spark and other related approaches• Machine Learning and Data Science• Predictive modeling techniques• Ability to extract, filter and synchronize structured and unstructured data• Tableau, Gephi or other visualization packagesCORPORATE SUSTAINABILITY AND IMPACT STRATEGY (ESG / SDGs / CSR )
• Perform research on projects related to Corporate Sustainability, ESG and the UN Sustainable Development Goals, and aspects related to corporate strategy, impact investing, sustainable finance and reporting.• Work on sustainable finance assignments that relate to how investors allocate capital using an ESG and/or SDG approach• Investigate topics at the intersection of infrastructure projects and sustainability• Develop projects that relate to corporate strategy and alignment towards the sustainable development goals• Provide support on projects related to capacity building for Governments in Emerging Markets• Work on writing grants applications in the areas of sustainability and AI for Good.• Collect, filter and interpret data to support corporate goals to reduce energy, water and waste cost, and consumption.• Contribute to write white papers with use cases that showcase the use of susta-inability data for corporate strategy, investment and policy.• This track can be either Technical or Non-Technical. For the Technical version, it will include components of data science.• Coursework in Sustainability and Climate Change concepts• Experience with Power Point, Excel, and Word• Proficient with visualization tools such as Tableau• Previous experience in a corporate or NGO setting• Ability to communicate thoughts and technical ideas in clear and concise manner
UX/UI DESIGN & DATA-DRIVEN DASHBOARDS• Build data-driven interactive online dashboards and applications that help draw insights and make decisions using data across the financial, digital marketing, sustainability and other fields.• Design graphic user interface elements, and build navigation components that have both functional and appealing features• Illustrate user interface design ideas using storyboards, process flows, sketches, wireframes and sitemaps; also develop User Interface mockups and prototypes that illustrate the design functionality• Evaluate and compare software platforms for UX/UX design and implementation, as well as benchmark design features and functionality• Optimize the data workflow, database latency and responsiveness for web/mobile design and UI/UX best practices for user centered design (UCD)• Knowledge of HTML, CSS, Javascript• Familiarity with Plotly, Taipy, Heroku, Python, SQL• Knowledge of user flows and wireframes• Experience with UX/UI prototyping• Data architecture and databases such as SQL• Optional experience with Sketch, Invision or equivalent• Demonstrated interpersonal, verbal and written communication skillsFor example, for both Data Science/ML and Quantitative Finance/ML, the tasks include Descriptive statistics, hypothesis testing, dealing with missing data, imputation & KNN, generalized linear models, PCA, ridge/lasso, trees, random forests, bagging, boosting, web scraping, support vector machines, neural networks, time series analysis, unsupervised learning. Also, projects that involve data cleaning, feature extraction, natural language processing, modeling and model selection using regression, SVM, PCA, tree models, clustering and more, like using Numpy, Scipy, Matplotlib, Pandas, and Beautifulsoup, and other packages relevant for both Dat Science and Quantitative finance.
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Odyssey Consulting 将为你提供相关领域职业咨询及求职环节辅导，你将有机会直接与来自MBB的咨询行业大牛导师1v1咨询求职情况。以求职结果为核心目标，进行定制化的职业咨询课程。你将收获来自导师的1v1简历修改、面试指导、资源推优、人脉搭建、职场社交等指导和服务，帮助你提高Offer率！
