Goldman Sachs is looking for Data Analyst/ QA Analyst in Hyderabad, Bangalore, India. Candidates with a Bachelor’s or Master’s degree are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.
Job Description:
Company Name
Goldman Sachs
Position
Data Analyst/ QA Analyst
Qualifications
Bachelor’s/ Master’s Degree
Batch
2018/ 2019/ 2020/ 2021/ 2022/ 2023
Experience
Freshers & Experienced
Location
Hyderabad, Bangalore, India
Key Responsibilities:
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.
Preferred skills:
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.
About Company:
At Goldman Sachs, we believe progress is everyone’s business. That’s why we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, Goldman Sachs is a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices in all major financial centers around the world.
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