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
