校招推荐岗位-Mckinsey&Company

KEY RESPONSIBILITIES

• You will work on one or two client projects as an integral part of engagement teams and may also contribute to internal knowledge development initiatives.  

  
  

• Expand your horizons by solving real-world challenges in a team setting, working with complex data sets and advanced analytics tools.

  
  

• Working alongside and learning from industry and functional experts, along with specialists in data, advanced analytics and modelling, you will apply your skills on a range of subjects including risk modelling, stress testing, balance sheet analytics, operational risk, fraud analytics, model risk management, risk model validation, and analytics quality assurance. Throughout, you will do cutting-edge analytical work while partnering closely with our clients, and developing your broader consulting toolkit.

  
  

• Working on projects and exchanging experiences with your colleagues means you will face new intellectual challenges on a daily basis, while continuously building your methodological knowledge and skills.

  
  

• You will analyze client-specific needs and generate accurate, effective, and pragmatic recommendations, anticipating potential obstacles and taking into account client expectations and constraints.

  
  

• You will advise client teams on analytic options to address their specific needs, including discussing potential approaches to problems, associated costs, trade-offs and recommendations.

  
  

• You will work directly with clients to conduct hands-on, rigorous quantitative analysis including gathering the data, cleaning it and exploring it for accuracy.

  
  

• Once the data is transformed, you will deploy statistical modeling and optimization techniques most suited for the business problem (using Python, SAS, SQL, R and other relevant tools) to improve risk management decision making (e.g., underwriting models).

  
  

• You will interpret outputs of statistical models and results with the team to translate input from quantitative analyses into specific and actionable business recommendations.

  
  

• This will include providing detailed documentation of modeling techniques, methodologies and process steps.

  
  

• You will then produce and present high-quality deliverables.

  
  

• You will balance independent modeling and analytical work with oversight by firm teammates, contribute to team problem solving through the findings and insights from your analysis, and help facilitate data integration and management between clients and McKinsey. Ultimately, you will contribute to the development of knowledge for the analytic group at large and ultimately influence many of the recommendations our clients need to positively change their businesses and enhance performance. 

  
  

• Additionally, you may have the opportunity to contribute to business development initiatives (e.g., roundtables, events, conferences, client meetings), the drafting of client proposals, as well as the development of internal methodologies, approaches, and frameworks.

  
  

BASIC QUALIFICATIONS

• Master’s or PhD student with a strong academic record in a quantitative field such as analytics, computational finance, computer science, economics, financial engineering, mathematics, statistics, physics or other relevant field, with at least one semester remaining after the internship.

  
  

• Experience working in/with enterprise class data environments to access, manipulate and analyze large data sets.

  
  

• Experience in model development, validation, and benchmarking, specifically related to single and multifactor models, and other modeling techniques (e.g., Merton, Longstaff-Schwartz, Black-Sholes, etc.) within banking or insurance models; and a desire to learn about risk management.

  
  

• Experience programming (beyond simple scripts) in a modern scientific language (e.g., Python, Matlab, R) and experience with TensorFlow, Spark, Java, C#, C++, or C; knowledge of SQL and SAS is a plus

KEY RESPONSIBILITIES

• You will collaborate with colleagues and clients to create new strategies across a wide platform of projects such as life-cycle management, pricing and promotions, marketing mix modeling, analytic transformation, etc.

  
  

• In this role, you will help to expand our current analytics capabilities and architect new strategies and applications within a dynamic and innovative organization.

  
  

• You will shape the future of what data-driven organizations look like, drive processes for extracting and using that data in creative ways, and create new lines of thinking within an infinite number of clients and situations, with an eye on optimizing every aspect of our clients’ marketing practices.Through the measurement, manipulation, reporting and dissemination of broad sets of data, you will create valuable, transformative business strategies.

  
  

• You will apply and advise teams on the state-of-the-art advanced analytic and quantitative tools and modeling techniques in order to derive business insights, solve complex business problems and improve decisions.

  
  

• You will also conduct deep analytics on a broad set of client and external data and play a lead role in team problem solving through findings and insights from that analysis.

  
  

• You will also lead and support the development of knowledge for our firm’s analytics group.

  
  

• You will do this by creating a roadmap for a greater understanding of analytics and its impact in the consulting population or by partnering with other analytics consultants to ensure timely and effective methods on the extraction, assembly and transfer of broad, complex sets of data.

BASIC QUALIFICATIONS

• University student in a STEM related field (e.g., comp sci, etc.); expected graduation date between December 2023 to June 2024 Or, Master’s student completing your first year in a non-business, 2-year Master’s program with less than 2 years of work experience.

  
  

• Experience developing and applying predictive models and other advanced statistical approaches in a corporate or consulting setting, preferably in a marketing and sales context.

  
  

• Advanced programming skills in at least one of the programming languages: Python, R, Java.Proficiency in statistical data analysis and data mining packages (e.g., R, SAS, SPSS, Alteryx, MatLab, STATA, Excel.Strong academic qualifications including advanced understanding/coursework in database management and math (e.g. linear, algebra, calculus).

  
  

• Advanced knowledge of data management tools including SQL/RDBMS, NoSQL (e.g., MongoDB), Hadoop and/or other big data technologies

想了解该岗位具体要求，直接扫描下方二维码，添加专属顾问回复【求推荐】，即可获取职位详情以及申请、内推方式哦！

往期校招职位机会：

校招推荐岗位 - Meta

校招推荐岗位 - TuSimple

校招推荐岗位 - Meta

校招推荐岗位 - Ancestry

校招推荐岗位 - Disney

关于我们：

金牌职前教育品牌Uoffer（前FLAGDream）以帮助学员进入世界一流公司为使命，依托遍布硅谷、华尔街和大中华区的强大资源网络，为来自世界各地的学员提供专业的职业发展咨询与职业技能培训服务。

版权声明：

本文由Uoffer独家采编，未经授权禁止转载及任何形式的转化。

Uoffer除发布原创求职干货文章资料之外，致力于分享优秀职业发展相关文章。