Operations is a dynamic, multi-faceted division that partners with all parts of the firm to provide banking, securities, and asset management services to clients around the world. In addition, Operations provides essential risk management and controls to preserve and enhance the firm's assets and its reputation. For every new product launched and every trade executed, it is Operations that develops and manages the processes and controls that enable business flow.
The Asset Management Division is comprised of Merchant Banking and Asset Management. These businesses engage with clients around the world including sovereign wealth funds, public and private pension funds, endowments, foundations, insurance companies and corporations, as well as third party financial intermediaries, to deliver our full suite of world-class solutions across liquidity, fixed income, equities and alternatives. Asset Management Operations supports these business through risk management and control, preserving and enhancing the firm’s assets and its reputation.
Asset Management Division 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 organization growth strategy.
Fulfilling Your Potential
Analyse big data and undertake exploratory data analysis while observing best practices for experimentation / analysis
Perform data preparation, data blending, data visualisation
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 context 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
Manage team / teams of core and embedded specialists Business Intelligence Specialists
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
Shape, define and execute on the Business Intelligence specialist career path
Advise and become advisor for evolving solution applications while keeping a view of full low code toolkit through solution design forums
Contribute to ever changing Business Intelligence risk and governance framework
Partner with internal and external firm innovation partners to drive adoption of new technologies, contributing to ongoing incubation of new low code applications
3+ years’ experience in (1) Business Intelligence and (2) Project, Communication and Stakeholder Management
Bachelor’s 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
1-5 years’ experience in (1) data analytics, (2) data visualisation, (3) computer programming and / or (4) data governance
Knowledge of data related emerging trends and issues including financial regulation
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
Financial Engineering and / or Investment Management experience
Able to contextualise analysis in Confluence, JIRA, Microsoft Applications, etc.
Experience with implementing according to solution delivery frameworks such as Agile, Six Sigma, Waterfall, etc.
Experience in the practice of continuous integration / continuous deployment
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. Elasticsearch, MS SQL Server)
Working knowledge of artificial intelligence programming languages (e.g. Python, R)
Working knowledge of artificial intelligence scientific computing packages (e.g. Scikit-Learn, Pandas, NLTK)
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. We’re 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