Sr. Quantitative Engineer

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This job is responsible for designing and overseeing common, reusable, and scalable software components which are either domain independent (e.g., generic data quality tools over billions of rows of data) or domain specific (e.g., classification models for surveillance or testing framework for Global Markets processes). Key responsibilities include enabling Global Risk Management's data and analytical capabilities. Job expectations include working with senior modelers, risk managers, and technologists to understand the current state and design the future state of data and analytics.

Responsibilities:

• Seeks opportunities for consistent improvement in quality, efficiency, and processes

• Partners effectively with senior stakeholders within Global Risk Analytics and Enterprise Independent Testing, Front Line Units, Technology, Audit and Compliance

• Provides leadership and oversight to less experienced team members

• Applies quantitative methods to develop capabilities that meet line of business, risk management and regulatory requirements

• Understands financial data: schemas, flow, size, data issues, data controls, etc.

• Builds performant big data pipelines

• Uses programming skills and knowledge of software development lifecycle principles to deliver high quality code for model and testing processes

Senior Quantitative engineers in Global Risk are responsible for designing and overseeing the implementation of common, reusable, and scalable software components. These components enable GRM’s data and analytical capabilities. These components can be domain independent (e.g., generic data quality tools over billions of rows of data) or domain specific (e.g., classification models for surveillance or testing framework for Global Markets processes). Senior Quantitative engineers work with senior modelers, risk managers, and technologists to understand the current state and design the future state of data and analytics. Senior Quantitative engineers have a combination of software engineering, big data, modeling and management skills and the ability to work across the entire spectrum of a big data stack – from data to logic to model to UI to UX.

Job Responsibilities:

• Seek opportunities for consistent improvement in quality, efficiency, and processes

• Partner effectively with senior stakeholders within GRA & EIT, Front Line Units, Technology, Audit and Compliance

• Provide leadership and oversight to less experienced team members

• Applying quantitative methods to develop 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 outside the box of current industry standards to develop innovative approaches 

• Maintaining and continuously enhancing capabilities over time to respond to the changing nature of portfolios, economic conditions and emerging risks

• Source and evaluate data required for modeling and testing

• Design and develop and implement models and tests

• Produce clear, concise and repeatable technical documentation models and tests for internal and regulatory purposes

Technical skills:

• Software engineering: modular code, software lifecycle processes, unit testing, regression testing

• Big data: distributed computing paradigms (e.g., mapreduce, dataframes, etc), optimizing distributed software

• Modeling / quantitative: basic modeling techniques (regression, classification, clustering, etc.)

Soft Skills:

• High level of intellectual curiosity

• Experience implementing strategic process improvements and/or automation 

• Proven track record of building relationships and effectively influencing key stakeholders 

• Adept at detecting and remediating organizational / process weaknesses and deficiencies

• Feels ownership and accountability for delivering high quality work, able to balance multiple priorities and meet strict deadlines 

• Strong written, verbal, presentation creation and delivery skills, typically to very senior audiences

• Well organized with attention to detail

• Willing to challenge the status quo and with a track record of driving change 

Job Qualifications:

• Bachelor’s degree in Computer Science, a closely related field, or a degree from a program where software engineering was a key focus or equivalent work experience

• 7+ years of relevant experience in software engineering in Quantitative Finance or other industries

• Strong Programming skills (e.g., Python) and solid understanding of Software Development Life cycle principles

• Proven track record of seamlessly leading and executing enterprise-wide initiatives

• The candidate must be a strong communicator and able to effectively explain the rationale and details of the methodologies to a broad set of audiences that include key senior stakeholders across the Bank, as well as auditors and regulators

• Strong analytical and problem-solving skills

• Candidates should have at least three of the following skills:

• Experience applying quantitative methods such as modelling, data analytics, machine learning, and statistics to develop business solutions

• Experience with large scale data sets with structured or unstructured data

• Experience in building user facing applications over large amounts of data using technologies like React, Angular, JavaScript etc.

• Experience implementing process improvements and automation 

Skills:

• Critical Thinking

• Data Modeling

• Process Effectiveness

• Risk Modeling

• Test Engineering

• Influence

• Oral Communications

• Prioritization

• Relationship Building

• Written Communications

• Attention to Detail

• Change Management

Minimum Education Requirement: Bachelor’s degree in related field or equivalent work experience

Shift:

1st shift (United States of America)

Hours Per Week: 

40