Goldman Sachs Recruitment | Data Analyst/ QA Analyst | Apply Now

Goldman Sachs OFF Campus Drive 2023 Invites Students From Various Disciplines to apply for the Position of Data Analyst/ QA Analyst In Hyderabad, Bangalore, India. Below you will find more details about what you need to know if you are Interested and Eligible

Goldman Sachs Recruitment 2023:-

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Job Responsibilities and Professional Expertise :-

• Understanding the broad design of an electronic trading flow (order execution cycle, software stack, inter connected systems)
• Understanding underlying business context and trading activity profile (e.g., financial products traded, order types, market structure and rules, trading algorithms) for the e-trading flow.
• Understanding the design and implementation of key software-based pre-trade controls through code walkthrough, control coverage analysis and control design best practices analysis.
• Validate the design, implementation and effectiveness of software controls in mitigating market disruption, financial and operational risks in e-trading flows and identifying potential gaps.
• Communicate the results and outcomes of validation, including identified gaps to key stakeholders in business and risk, and track gap remediation.
• Development of tools to enhance, automate and build efficiency into the validation workflow.
• Build production ready analytical tools to automate repeatable and reusable processes within IA.
• Build and manage relationships and communications with Audit team members.

Eligibility Criteria:- 

• Proficiency in programming languages, such as Python, Java, or C++
• Knowledge of basic statistics, including descriptive statistics, data distribution models,
• Time Series Analysis, correlation, and regression, and its application to data.
• Strong team player with excellent communication skills (written and oral). Ability to communicate what is relevant and important in a clear and concise manner and ability to handle multiple tasks.
• Strong contributing member of Data Science team and help build analytical capabilities for Internal Audit Division.
• Driven and motivated and constantly taking initiative to improve performance.

Required Technical and Preferred Skills Set:-

• Experience with advanced data analytics tools and techniques.
• Familiarity with text analytics and NLP using python.
• Clustering and Patterns Recognition techniques.
• Experience with analytical/ statistical programs such as SAS, SPSS, and R.
• Experience with visualization tools (Spotfire, Qlikview or Tableau) is a plus.
• Creativity/Innovation, i.e., ability to create new ways to improve current processes and develop practical solutions that add value to department.

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