Asset & Wealth Management Operations - Data Analytics - Associate - Bengaluru

ASSET MANAGEMENT 

Bringing together traditional and alternative investments, we provide clients around the world with a dedicated partnership and focus on long-term performance. As the firm’s primary investment area, we provide investment and advisory services for some of the world’s leading pension plans, sovereign wealth funds, insurance companies, endowments, foundations, financial advisors and individuals, for which we oversee more than $2 trillion in assets under supervision. Working in a culture that values integrity and transparency, you will be part of a diverse team that is passionate about our craft, our clients, and building sustainable success. We are: 

• Investors, spanning traditional and alternative markets offering products and services 
• Advisors, understanding our clients’ priorities and poised to help provide investment advice and strategies that make sense for their portfolios 
• Thought Leaders, providing timely insights across macro and secular themes to help inform our clients’ investment decisions 
• Innovators, using our suite of digital solutions to help our clients address complex challenges and meet their financial goals 

OPERATIONS

Operations is a dynamic, multi-faceted segment 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.

YOUR IMPACT

We are looking for a professional who wants to use their skills and experience to help deliver on operations agenda while challenging themselves to further their career at Goldman Sachs.

OUR IMPACT

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.

JOB SUMMARY AND RESPONSIBILITIES

• 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

BASIC QUALIFICATIONS

• 4+ 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
• 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

PREFERRED QUALIFICATIONS 

• 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

© The Goldman Sachs Group, Inc., 2024. All rights reserved.

Goldman Sachs is an equal employment/affirmative action employer