CIMD - Marcus by Goldman Sachs - Data Governance Engineer - Associate- Bengaluru

Job Description

CIMD - Marcus by Goldman Sachs - Data Governance Engineer - Associate- BengaluruLocation(s) IN-BengaluruJob ID 2021-70936 Schedule Type Full Time Level Associate Function(s) General, Quantitative Engineer Region India Division Consumer and Investment Management Division Business Unit WM SDLC Engineering Employment Type Employee MORE ABOUT THIS JOB Marcus by Goldman Sachs - Data Governance Engineer - Associate - BengaluruMarcus by Goldman Sachs is the firm s consumer business, combining the entrepreneurial spirit of a startup with 150 years of experience. Today, the consumer business has more than $50 billion in deposits, $5 billion in loan balances and 4 million customers across our lending, deposits and credit card businesses, as well as the Clarity Money personal financial management app, We are backed by our unique team, comprised of individual contributors from leading agile technology companies, fintechs and consumer financial services companies, allowing us to disrupt the industry, while helping consumers take control of their financial lives.What We DoAt Goldman Sachs, our Engineers don t just make things we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.Engineering, which is comprised of our Technology Division and global strategists groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities Start here.Who We Look ForGoldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment.Consumer EngineeringThe firm s Consumer business, Marcus by Goldman Sachs, combines the entrepreneurial spirit of a startup with more than 150 years of experience. Today, we serve millions of customers across multiple products including lending, deposits, financial tools, and our partnership with Apple on Apple Card. We use innovative design, data, engineering and other core capabilities to provide customers with powerful tools and products that are grounded in value, transparency and simplicity. As we build a leading digital consumer bank and expand into new products and partnerships, we are looking for leaders and individual contributors to join our team. RESPONSIBILITIES AND QUALIFICATIONS Job Summary & ResponsibilitiesAs part of the decision and data science function for Marcus, you will be at the forefront of a data-driven initiative to optimize decision making. This role will draw upon your knowledge of programming and mathematics applied in data governance, data quality and data anomaly detection. In this role you will:

• Rapidly prototype early-stage solutions and design / evaluate good quality data for business decisions throughout the customer lifecycle (prospecting, acquisition, underwriting, fraud, collections, enhancing customer experience, compliance etc.)
• Understand and document the business systems, data flows and the business architecture / processes that consume data
• Design and execute software code to validate quality of data e.g. completeness (reconciliation between two data repository or databases) and accuracy (validity and soundness) of data intended for business decision making
• Leverage methods from diverse disciplines such as machine learning, deep learning, statistical modelling, information retrieval and other areas to improve quality of data to gain accurate customer insights and improve business decision making
• Participate in data architecture decisions and partner with technology/engineering teams to implement models/algorithms/solutions in production
• Work with business partners to document data dictionary, assess risks, design data controls and review the results for data quality and anomalies
• Think strategically on a higher level, proposing new metrics or suggesting alternatives, creating highly interpretive information that imply new context and new semantics for data
• Familiar with internal systems and processes or an ability to quickly learn the same

ABOUT GOLDMAN SACHS ABOUT GOLDMAN SACHSAt 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. Were 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., 2020. All rights reserved.Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender IdentityOptionsApplyApplyEmail a FriendEmail a Friend,

Keyskills :
risk managementdata architecturedata qualitybig datalow latencydata governancedata dictionarymachine learningglobal investmentdata sciencedeep learningbusiness systems