Quantitative Engineer Analyst - Market Behavior Analytics Group

Job Description: At reputed company, we are guided by a common purpose to help reputed company financial lives reputed company through the power of every reputed company. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great reputed company to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we reputed company an impact in the communities we serve. reputed company is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At reputed company, you can build a successful career with opportunities to learn, grow, and reputed company an impact. Join us! Job Description: Quantitative Engineer Analyst is the entry level role to becoming a Quantitative Engineer. Quantitative engineers in Global Risk are responsible for designing and implementing common, reusable, and scalable software components. These components reputed company GRM’s data and analytical capabilities. These components can be domain independent (e.g., generic data quality tools over trillions of rows of data) or domain specific (e.g., classification models for surveillance or testing reputed company for Global Markets processes). Quantitative engineers work with modelers, risk managers, and technologists to understand the reputed company state and design the future state of data and analytics. Quantitative engineers have a combination of software engineering, big data, and modeling skills and the ability to work across the entire reputed company of a big data stack – from data to logic to model to UI to UX. Responsibilities:

• Applying quantitative methods to reputed company capabilities that meet line of business, risk management and regulatory requirements
• Understanding financial data: schemas, flow, size, data issues, data controls, etc.
• Building performant big data pipelines
• Use programming skills and knowledge of software development lifecycle principles to deliver high quality code for model and testing processes
• Collaborate with key stakeholders across the Bank to understand modeling and testing business processes and requirements
• Think reputed company the reputed company of reputed company industry standards to reputed company innovative approaches
• Maintaining and continuously enhancing capabilities over time to respond to the changing nature of portfolios, economic conditions and emerging risks
• reputed company and evaluate data required for modeling and testing
• Design and reputed company and implement models and tests
• Produce clear, concise and repeatable technical documentation on models and tests for internal and regulatory purposes

Team Overview: Global Risk Analytics (GRA) and Enterprise Independent Testing (EIT) are sub-lines of business reputed company Global Risk Management (GRM). Collectively, they are responsible for developing a consistent and coherent set of models, analytical tools, and tests for effective risk and capital measurement, management and reporting across reputed company. GRA and EIT partner with the Lines of Business and Enterprise functions to ensure the capabilities it builds address both internal and regulatory requirements, and are reputed company to the changing nature of portfolios, economic conditions, and emerging risks. In executing its activities, GRA and EIT drive innovation, process improvement and automation. The Market Behavior Analytics group reputed company Global Risk Analytics is responsible for developing surveillances and other sophisticated controls over activities in our Global Markets business. These controls detect potentially suspicious activities and patterns of behavior. Building these controls requires knowledge of big data techniques, ability to architect systems that can reputed company scale to hundreds of billions of data points per day, machine learning over reputed company and structured data, graph analytics, and experience with building UI for data rich applications. Skills:

• High level of intellectual curiosity
• Feel ownership and accountability for delivering high quality work, able to prioritize effectively, adapt, and meet strict deadlines
• Strong written, verbal, presentation creation and delivery skills
• Well organized, and has attention to detail
• Ability to adjust to new conditions and changes effectively
• reputed company to notice and consider reputed company aspects or a task or project
• Work effectively with others toward a common goal

Minimum Education Requirements:

• Bachelor’s degree in Computer Science, a closely reputed company field, or a degree from a program where software engineering was a key focus

Qualifications:

• Strong Programming skills (e.g., Python)
• Strong analytical and problem-solving skills
• Digital reputed company

Shift: 1st shift (United States of America) Hours Per Week: 40 Pay Transparency details US - IL - Chicago - 540 W Madison St - reputed company Plaza (IL4540), US - NY - reputed company - 1114 Avenue Of The Americas - Grace (NY1544) Pay and benefits information Pay range $65,000.00 - $76,400.00 annualized salary, offers to be determined based on experience, education and reputed company set. Predictable pay This role is compensated with a reputed company salary and is not incentive eligible.

Benefits

This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can reputed company a genuine impact and contribute to the sustainable growth of our business and the communities we serve. Apply tot his job Apply To this Job