The Detection Team at BNY Mellon develops and maintains the signals, tools, and infrastructure required to perform deep analysis of threats on our corporate environment. This role will be responsible for identifying and constantly evolving techniques to detect sophisticated attacks. As part of this team, you will be building advanced and novel detection mechanisms for attacker techniques tactics and procedures, developing systems to automate remediation, conducting threat hunting, and performing network and systems forensics, as well as malware and indicator ae Analysis.
BNY Mellon, cybersecurity is a top priority for both technology and the business. The members of the Information Security Division are on constant alert, using their creativity and knowledge of cybersecurity, technology, and business processes to develop and deliver creative solutions. In this fast-paced environment, staff collaborate to respond to current risks, while identifying and anticipating future threats. Our cyber capabilities encompass the full spectrum of services from Cyber Operations (SOC, Cyber Threat Intelligence, Vulnerability Management, Cyber Incident Response, Penetration Testing & Red Teaming, Cyber Analytics & Fraud, and Insider threat) to Cyber Architecture and Engineering (Network, Platform, Cloud, and Applications Security). Together with the CISO and his leadership team, staff provide a robust set of cyber services that provide full scope protection and response capabilities across the BNY Mellon enterprise. We help our businesses, the bank’s executive team, and our board of directors understand cybersecurity risk and the steps that must be taken to create and maintain a secure environment that drives innovation.
What you will be doing:
This position requires hands on experience of maintaining large datasets, analyzing data to identify patterns, generating reports, identifying problems and areas of improvements, and proposing solutions and data governance strategies. Individual should be able to work interpedently on a given task with minimum supervision and collaborate in a team environment to complete complex projects.
Prior experience of data analysis
Experience of working directly with customers with strong communication skills
Strong analytical and problem-solving skills
Bachelor’s degree in computer science or a related discipline, or equivalent work experience required
Experience in producing, consuming, and analyzing large data sets
At least 7 years of SQL database experience required including creating tables, stored procedures, and views
Experience of writing complex SQL queries using Joins, Unions, Aggregate Functions, etc.
Practical experience of collecting and analyzing large data sets to identify patterns and problems
At least 5 years of ETL development experience required
Experience in reorganizing and consuming data in different formats (e.g. JSON, XML, CVS, Excel)
Expert level knowledge of Excel including VLOOKUP, Pivot tables, charting, conditional formatting, etc.
Some experience or familiarity in Big Data platforms and tools
- Salary Offer $70K/yr - $151K/yr
- Address New York, NY, USA
- Experience Level Senior
- Total Years Experience 5-10