About Goldman Sachs

At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. For us, it’s all about bringing together people who are curious, collaborative and have the drive to make things possible for our clients and communities.

Role

• Understanding and analyzing divisional business metrics
• Working with our Data Engineering and Data Analytics teams to enhance our reporting tools
• Partnering with teams to track progress toward departmental strategic initiatives
• Communicating directly with department-wide team members on client engagement priorities and initiatives
• Preparing presentations and summaries of client engagement trends for senior team leads
• Contributing to the corporate access team with other various day-to-day queries
• Processing invoices for corporate access payments
• Feed in to product initiatives for the team
• Responsible for consumption analysis for investing clients and entering missing data

Skills and Experience

• Exceptional attention to detail

• Strong analytical and decision‐making skills, with high attention to detail and data accuracy

• Strong communication (oral and written) and negotiation skills

• Good business judgment, the ability to work under pressure and meet tight deadlines

• Ability to solve problem and logically resolve complex issues

• Proficiency in Excel and PowerPoint required; VBA/Macro/SAS/Python

• Background with strong coding skills using modern languages e.g. Java, Python, C++

• Minimum of 2‐3 years relevant work experience in automation space using Python
  Strong understanding of python syntax, core concepts such as functions, loops, conditonals

  and error handling- Familiarizes with Python data structures such as lists, dictionaries, sets and tuples

• Experience with automation tools like Selenium, Request, Beautilfulsoup, Pandas/Numpy

Additional Considerations

• Financial experience a plus

• Analytical; comfortable working with large sets of data
  Excellent analytical, organizational, and decision making skills, with high attention to detail

  and data accuracy- Very well‐organized

• Ability to manage 􀆟me and prioritize tasks

• Strong documentation, presentation and verbal/written communication skills

• Self‐starter and personal initiative

• Ability to work in a fast‐paced environment with a focus on delivery and excellence

• Quick learner who can thrive working as part of a global team and individually

• Good business judgment, the ability to work under pressure and meet tight deadlines