Audit Technology Data Scientist - Global Markets

Nomura; New York (NY); On-site; USD 130,000 - 150,000; Full time

Benefits offered by this job

401(k) plan

Paid time off

Job summary

Nomura’s Internal Audit team in New York seeks a data‑driven professional to audit Global Markets IT, applying analytics to assess technology risks and controls. You will collaborate with trading desks, risk, compliance, and finance to design testing approaches and improve risk management processes.

The role emphasizes data analytics, coding in Python, and knowledge of databases and visualization tools. A bachelor’s degree in a quantitative field is required, with audit qualifications a plus.

Qualifications

• Bachelor’s degree in a quantitative field or related discipline is required.
• Experience applying data analysis skills in business or educational settings.
• Knowledge of trading systems and related operations within financial services beneficial.
• Familiarity with IT general controls and data integrity analysis helps.
• Regulatory awareness in US/Europe/Asia is a plus.

Responsibilities

• Audit Global Markets IT portfolio and risk controls using data analytics.
• Develop automated tests to identify control weaknesses.
• Collaborate with technology and control stakeholders across departments.
• Document technology/process controls and provide senior-management insights.
• Support continuous improvement of audit methods and tools.

Skills

Data analysis

Trading systems experience

Python programming

AI tools knowledge

Databases

Data visualization

Auditing principles

Communication

Education

Bachelor’s degree in Data Science/Quant/CS/Finance/related

CISA or accounting/audit qualifications (advantage)

Tools

SQL

Elastic

Graph databases

Linux

Power BI

Tableau

QlikView

Job description

Nomura’s Internal Audit team in New York seeks a data‑driven professional to audit Global Markets IT, applying analytics to assess technology risks and controls. You will collaborate with trading desks, risk, compliance, and finance to design testing approaches and improve risk management processes.

The role emphasizes data analytics, coding in Python, and knowledge of databases and visualization tools. A bachelor’s degree in a quantitative field is required, with audit qualifications a plus.