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Job Description

Quantitative engineers in Global Risk are responsible for designing and implementing common, reusable, and scalable software components. These components enable GRMs 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 framework for Global Markets processes). Quantitative engineers work with modelers, risk managers, and technologists to understand the current 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 spectrum of a big data stack from data to logic to model to UI to UX.

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

We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form (https://airtable.com/app21VjYyxLDIX0ez/shrOg4IQS1J6dRiMo) . The EEOC "Know Your Rights" Poster is available here (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .

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Skills and Requirements

At least 2 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

Candidates should have at least one of these following skills and preferably have at least two of these skills:-

Strong analytical and problem-solving 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 null

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].