OUR IMPACT

Operations is a dynamic, multi-faceted division that partners with all parts of the firm to deliver banking, sales and trading and asset management capabilities to clients around the world. In addition, Operations provides essential risk management and control to preserve and enhance the firms assets and its reputation. For every trade agreed, every new product launched or market entered, every transaction completed, it is Operations that develops the processes and controls that makes business flow.

YOUR IMPACT

Asset Management Division (AMD) Business Intelligence Associate will contribute to leading programs by delivering business and artificial intelligence analytics initiatives. This role will combine accountability and responsibility for delivering automated solutions and business analytics, by taking advantage of artificial intelligence, process automation and data visualization tools, to generate business value.

As a business intelligence specialist, your efforts will involve providing solutions to impactful business initiatives. You will be engaging directly with business representatives and subject matter experts to drive value in line with Asset Management Division strategy while ensuring algorithms, low code assets, and user experience are continually improved to meet organisation growth strategy.

HOW YOU WILL FULFILL YOUR POTENTIAL

Key responsibilities being:

• Analyse big data and undertake exploratory data analysis while observing best practises for experimentation / analysis
• Develop business intelligence applications and present outcomes
• Design indicators of business intelligence application performance and risk metrics
• Synthesize analysis results to inform business outcomes
• Identify, escalate and resolve systems and algorithm performance trends or issues
• Deliver business intelligence products in the content of your organisations change agenda
• Track and report progress on projects, adhering to the solution delivery lifecycle
• Seek information / guidance / opportunities from inside and outside of your firm / industry to corroborate outcomes
• Collaborate with other solution experts / advisors to share ideas / code through showcasing outputs
• Extend / modify analysis / development based on observations of data, process limitations and implications of outcomes
• Contribute to ongoing incubation of new low code applications
• Lead oversight of client / customer / stakeholder engagements to drive low code opportunities
• Partner with Engineering to ensure low code is provisioned in the context of your firms wider technology architecture strategy

BASIC QUALIFICATIONS

Basic Qualifications

• 1-5 years experience in (1) Business Intelligence and (2) Project, Communication and Stakeholder Management
• 1-5 years experience in (1) data analytics, (2) data visualisation, (3) computer programming and / or (4) data governance
• Bachelors degree or equivalent in Science, Technology, Engineering or Mathematics
• Relevant experience in Consumer, Financial, Social Media, FinTech
• Practitioner in business intelligence and/or artificial intelligence methodologies and their value / limitations
• Software design and application of software according to the day-to-day realities of the business
• Knowledge of data related emerging trends and issues including financial regulation

Soft Skills

• Fast learner and effective communicator of new / complex information
• Self-motivated team player who is able to define, structure and prioritize work, but who has the flexibility to change priorities when circumstances dictate
• Able to develop cooperative and constructive working relations with strong cultural awareness
• Confidence to challenge and be innovative

Preferred Qualifications

Business

• Financial Engineering and / or Investment Management experience
• Able to contextualise analysis in Confluence, JIRA, Microsoft Applications, etc.
• Working knowledge of programming languages (e.g. Ruby, java)

Solution Delivery

• Experience with implementing according to solution delivery frameworks such as Agile, Sig Sigma, Waterfall, etc.

Business Intelligence

• Working knowledge of analytics applications (i.e. Alteryx, Tableau, Qlik)
• Working knowledge of workflow applications (e.g. Appian, unqork, Xceptor)
• Working knowledge of database tools (e.g. Elastic, MS SQL Server, Legend)

Artificial Intelligence

• Working knowledge of artificial intelligence programming languages (e.g. Python, R)
• Working knowledge of artificial intelligence computational packages (e.g. PyCharm, Scikit-Learn)

Working knowledge of artificial intelligence platforms including robotics (e.g. Automation Anywhere, Anaconda, GitHub/Lab, Jupyter Hub, UiPath)

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. Were committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

The Goldman Sachs Group, Inc., 2021. All rights reserved.Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity