Jobs in Goldman Sachs

Risk Analyst | Goldman Sachs Careers | Job Alert | Latest Jobs in Bengaluru 2022

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Risk Analyst | Goldman Sachs Careers | Job Alert | Latest Jobs in Bengaluru 2022

Risk Analyst | Goldman Sachs Careers | Job Alert | Latest Jobs in Bengaluru 2022

About Company

Аt Gоldmаn Sасhs, we соmmit оur рeорle, сарitаl аnd ideаs tо helр оur сlients, shаrehоlders аnd the соmmunities we serve tо grоw. Fоunded in 1869, we аre а leаding glоbаl adventure bаnking, seсurities аnd theory mаnаgement firm. Heаdquаrtered in New Yоrk, we mаintаin оffiсes аrоund the wоrld.

Risk Analyst Job Description

Goldman Sachs serves clients in a variety of business areas (first line businesses) and geographies. The firm incurs risk in the normal course of business by investing capital to service clients. However, we make every effort not to accept risks that could materially harm (a) the firm’s capital and liquidity position; (b) the firm’s capacity to earn revenues even in a stressed environment; or (c) the firm’s reputation. Goldman Sachs recognises that our ability to safely take risk must be considered in the context of our total control environment when assessing our risk appetite.

Risk management is a second-line control function that monitors the operations of first-line businesses. The Risk Management organization’s job is to identify the risks incurred via business activity (Risk Identification), create the risk appetite for these risks, and assure compliance with the risk appetite (through measurement, monitoring, and risk limiting/controlling within the firm). Credit, Market, Liquidity, Operational, and Model risks are the key risk kinds.

Risk Engineering is a diverse team of quantitative professionals who are the official developers of the firm’s independent risk and capital measurements. Risk Engineering as a whole is in charge of creating, implementing, executing, reviewing, interpreting, explaining, and communicating risk and capital indicators that are used to independently guarantee the firm adheres to its Risk Appetite and maintains an acceptable amount of Risk Capital.

Risk Engineering employs approximately 600 of the Risk Division’s 1300 employees and is responsible for delivering high-quality risk deliverables to the Chief Risk Officer, senior management, regulators, and other stakeholders in order to keep the firm’s activities within its defined risk appetite and in compliance with regulatory requirements.

To fulfill the Risk Division’s mission, Risk Engineering:

  • builds and maintains services to identify risks.
  • accesses internal and external data.
  • develops models.
  • leverages services, data and models to compute, review and publish risk deliverables.

Responsibilities

A&R is in charge of reviewing, publishing, interpreting, and communicating the firm’s independent and authoritative risk and capital metrics, which include the following:

Improving and maintaining systems for quantifying, reviewing, explaining, and communicating insight for risk and capital metrics for a big, diverse set of financial products or activities spanning the entire organisation. On an activity-by-activity or aggregate basis. This entails creating and deploying tools and signals to aid in the understanding of risk and capital measures at various levels of aggregation across the organisation in order to get insight while ensuring metrics continue to operate in accordance with design.

  • Understanding financial & non-financial risk by analyzing pricing, risk & capital model outputs to evaluate, explain and justify features observed in the firm’s risk data
  • Providing independent risk & capital metric process consulting for new or existing business activities in the firm
  • Providing quantitative and qualitative risk analysis, including the use of risk modeling tools to help estimate the financial risk of the firm’s transactions
  • Developing & maintaining engaging approaches to share curated risk insights through interactive dashboard tools
  • Automation engineering to improve control, reduce operational risks & costs and enhance the firm’s metric timeliness & availability increasing awareness of significant risks
  • Testing, developing & integrating new/updated workflows and documentation
  • Overseeing the activities covering a group of products / markets, and providing technical and decision-making judgment and guidance and organizational infrastructure
  • Performing anomaly detections in large data sets, investigating the cause and recommending corrective actions
  • Liaising with groups such as Modelers/Strats, Technologists, Trading & Investing businesses, Operations & Controllers to understand & explain observations in Risk data.
  • Coordinating with firm internal governing bodies such as Risk Committees and executive members of the firm
  • Interacting with firm external governing bodies such as external regulators and industry bodies

Eligibilities

  • Master’s Degree in Business, Statistics with an undergraduate focus on quantitative field such as Mathematics, Physics, or Engineering
  • Experience with, or keen interest to develop expertise in, pricing, risk and capital models
  • Experience with, or keen interest to develop expertise in, financial markets & economics
  • Practical knowledge of mathematics and numerical algorithms, including statistics and time series analysis
  • Experience with, or keen interest to develop expertise in, programming skills with various languages such as Python, HTML, Javascript and/or C++
  • Experience with, or keen interest to develop expertise in, development of risk analytics, interpretation & productivity tools for cultivating insights into risk & capital metric data
  • Excellent written and verbal communication skills
  • Entrepreneurial, creative, self-motivated and team-orientated.
  • In performing the job function, you will have the following opportunities:
  • Work in a dynamic & highly creative teamwork and consensus-orientated environment
  • Exposure to industry leading market data, pricing and risk & capital models for all activities the firm engages in
  • Exposure to challenging quantitative problems such as modeling risks for derivatives, large scale Monte-Carlo simulations across the firm and advanced approximation techniques for risk measurements
  • Exposure to large volumes of data (a.k.a ‘Big Data’) and the tools & techniques to interact with, and determine meaningful interpretations of, such data
  • Development of quantitative and programming skills
  • Development of economic, financial product and market knowledge
  • Engagement in critical internal risk management activities, and provision of data to both internal and external clients & firm governing bodies
  • Opportunities to work with senior members of the firm and a wide variety of groups across all areas of the firm.

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