Cyber Data Scientist - Boston, United States - State Street

Description

Who we are looking for

The State Street Security Architecture, Analytics & Fusion Engineering (SA2FE) team is looking for a Cybersecurity Modeling Scientist. The Fusion Analytics and Data Engineering team delivers models and insights to help Cybersecurity teams make faster, more informed decisions as we work to secure State Street's digital footprint. As a Modeling Scientist, you will develop the data flows, analytics pipelines, and production machine-learning systems -- in collaboration with data product managers, architects, engineers, and other team members -- to create analytics & ML-driven data products that support our mission to build predictive models and intelligent systems that help secure State Street's information and infrastructure.

Due to the role requirements this job needs to be performed primarily in the office with some flex work opportunities available.

What you will be responsible for

As Cybersecurity Modeling Scientist you will

• Use your understanding of Security Data Science, Graph Theory & Machine Learning applications to wrangle our unique cybersecurity data and create analyses and tools that point to the most significant business, governance, and risk management impacts.
• Work hand in hand with product owners and domain experts from across the Global Cybersecurity organization to develop novel analytics and ML solutions for critical identity, security, and risk management problems.
• Analyze large datasets using SQL and scripting languages to surface meaningful/actionable insights and opportunities to partner teams and other key stakeholders
• Approach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand behaviors and interactions
• Work with data analytics engineers to log new, useful data sources as we expand our portfolio of security tools and platforms, and with data platform engineers to develop capabilities for data and model operationalization
• Build, forecast, and report on metrics that drive strategy and facilitate decision making for key security initiatives
• Build, manage, deploy, and monitor end-to-end analytical and machine-learning solutions to scale our cyber behavioral intelligence platform
• Build and share data visualizations and self-serve dashboards for your product team, and support planning, facilitation, and execution of regular communication and coordination across cross-functional teams

What we value

These skills will help you succeed in this role

• PhD in a quantitative technical field with 2+ years of relevant industry experience OR Bachelor's degree in a quantitative field with a minimum of 5 years of industry experience.
• Direct relevant experience building ML models and analytics for cybersecurity, insurance, and other data intensive risk management related domains, structuring large volumes of operational and log data in cloud native analytics environments.
• Demonstrated ability to work as an independent contributor driving research and analyses from conception to implementation with minimal guidance.
• Experience with scripting and data analysis programming languages, such as Python or R and advanced proficiency with SQL and data visualization tools
• Familiarity with the modern data science tools such as Pandas, Scikit-Learn, XGBoost, TensorFlow/Keras, MLFlow, Jupyter Notebooks
• Experience with cohort and funnel analyses, population clustering and segmentation techniques, and a deep understanding statistical concepts related to experimental design, selection bias, probability distributions, and Bayesian inference
• Experience answering unstructured questions , driving data-driven solutions, and managing projects and tasks to a conclusion

Education & Preferred Qualifications

• Direct experience in the cybersecurity industry building analytics, models and detections (minimum 1-2 years).
• Familiarity with statistical and ML models for graph analysis, risk modeling in the actuarial or financial domain.
• Deep understanding of tools and techniques for fraud modeling and anomaly detection, forecasting and time-series analysis, and adaptive and reinforcement learning techniques.
• Experience using batch and real-time feature stores, and developing coordinated batch, streaming and online model execution workflows.
• Experience with data ops and big data tools such as Spark, Spark Streaming, Presto/Trino, Kafka,, Snowflake within cloud environments such as AWS, GCP, and Azure.
• Experience with MLOps and iterative cycles of end-to-end development, MRM coordination, deployment and monitoring of production grade ML models in a regulated high-growth tech environment

Are you the right candidate? Yes

We truly believe in the power that comes from the diverse backgrounds and experiences our employees bring with them. Although each vacancy details what we are looking for, we don't necessarily need you to fulfil all of them when applying. If you like change and innovation, seek to see the bigger picture, make data driven decisions and are a good team player, you could be a great fit.

Why this role is important to us

Our technology function, Global Technology Services (GTS), is vital to State Street and is the key enabler for our business to deliver data and insights to our clients. We're driving the company's digital transformation and expanding business capabilities using industry best practices and advanced technologies such as cloud, artificial intelligence and robotics process automation.

We offer a collaborative environment where technology skills and innovation are valued in a global organization. We're looking for top technical talent to join our team and deliver creative technology solutions that help us become an end-to-end, next-generation financial services company.

Join us if you want to grow your technical skills, solve real problems and make your mark on our industry.

About State Street

What we do. State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we're making our mark on the financial services industry. For more than two centuries, we've been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.

Work, Live and Grow. We make all efforts to create a great work environment. Our benefits packages are competitive and comprehensive. Details vary by location, but you may expect generous medical care, insurance and savings plans, among other perks. You'll have access to flexible Work Programs to help you match your needs. And our wealth of development programs and educational support will help you reach your full potential.

Inclusion, Diversity and Social Responsibility. We truly believe our employees' diverse backgrounds, experiences and perspectives are a powerful contributor to creating an inclusive environment where everyone can thrive and reach their maximum potential while adding value to both our organization and our clients. We warmly welcome candidates of diverse origin, background, ability, age, sexual orientation, gender identity and personality. Another fundamental value at State Street is active engagement with our communities around the world, both as a partner and a leader. You will have tools to help balance your professional and personal life, paid volunteer days, matching gift programs and access to employee networks that help you stay connected to what matters to you.

State Street is an equal opportunity and affirmative action employer

Salary Range:

The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.