Goldman Sachs Software Engineering Job Alerts :-

Goldman Sachs is hiring candidates for the role of Risk Analyst – Software Engineering for the Bengaluru, Karnataka, India locations. The complete details about Goldman Sachs Software Engineering Job Alerts are as follows.

Company Name:-Goldman Sachs
Required Education:Masters or Bachelors degree in a quantitative discipline such as data science, mathematics, physics, econometrics, computer science or engineering.
Skills Required:Python and SQL for extract transform load (ETL) operations and data analysis (including performance optimization).
R, Java, C++ is beneficial..
Job ID:140649
Category Type:Risk Engineering

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  • Job Position: Risk Analyst - Software Engineering
  • Job Location: Bengaluru, Karnataka, India
  • Salary Package: As per Company Standards
  • Full/Part Time: Full Time
  • Req ID: 140649
  • Education Level: Graduation

Qualifications

Eligible candidates are preferred to have the following:

  • Masters or Bachelors degree in a quantitative discipline such as data science, mathematics, physics, econometrics, computer science or engineering.
  • Entrepreneurial, analytically creative, self-motivated and team-oriented.
  • Excellent written, verbal and team-oriented communication skills.
  • Experience with programming in Python and SQL for extract transform load (ETL) operations and data analysis (including performance optimization). Experience in using languages such as R, Java, C++ is beneficial.
  • Experience in developing data visualization and business intelligence solutions using tools such as, but not limited to, Tableau, Alteryx, PowerBI, and front-end technologies and languages.
  • Working knowledge of the financial industry, markets and products and associated non-financial risk.
  • Working knowledge of mathematics including statistics, time series analysis and numerical algorithms.
  • 1-3 years of experience, preferably in financial, regulatory or consulting environment.

Job Description:

The Risk division is responsible for credit, market and operational risk, model risk, independent liquidity risk, and insurance throughout the firm.

Analytics & Reporting (A&R) is a group within Risk Engineering in the Risk Division of Goldman Sachs. The group ensures the firm’s senior leadership, investors and regulators have a complete view of the positional, market, and client activity drivers of the firm’s risk profile allowing them to take actionable and timely risk management decisions.

Risk Engineering is a multidisciplinary group of quantitative experts who are the authoritative producers of independent risk & capital metrics for the firm. Risk Engineering is responsible for modeling, producing, reviewing, interpreting, explaining and communicating risk & capital metrics and analytics used to ensure the firm adheres to its Risk Appetite and maintains the appropriate amount of Risk Capital. Risk Engineering provides risk & capital metrics, analytics and insights to the Chief Risk Officer, senior management, regulators, and other firm stakeholders.

Skills Required

Roles & Responsibilities:

A&R delivers critical regulatory and risk metrics & analytics across risk domains (market, credit, liquidity, operational, capital) and firm activities via regular reporting, customized risk analysis, systematically generated risk reporting and risk tools​.

A&R has a unique vantage point in the firm’s risk data flows that, when coupled with a deep understanding of client and market activities, allows it to build scalable workflows, processes and procedures to deliver actionable risk insights​. The following are core responsibilities for A&R:

  • Delivering regular and reliable risk metrics, analytics & insights based on deep understanding of the firm’s businesses and its client activities.
  • Building robust, systematic & efficient workflows, processes and procedures around the production of risk analytics​ for financial & non-financial risk, risk capital and regulatory reporting.
  • Attesting to the quality, timeliness and completeness of the underlying data used to produce these analytics​.

Goldman Sachs Software Engineering Job Alerts Application Process:-

Apply In Below Link

Note:– Only shortlisted candidates will receive the call letter for further rounds

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