Sr. Quantitative Engineer
About The Position
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. 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.
Requirements
- 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 work experience
- At least 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
Nice To Haves
- 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.)
- High level of intellectual curiosity
- 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
- Critical Thinking
- Data Modeling
- Process Effectiveness
- Risk Modeling
- Test Engineering
- Influence
- Oral Communications
- Prioritization
- Relationship Building
- Written Communications
- Attention to Detail
- Change Management
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
- 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
Benefits
- access to paid time off
- resources and support to our employees
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
