Quantitative Engineer: Big Data & Risk Analytics

United States Digital Space LLC

Orpington

On-site

GBP 90,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Private healthcare

Pension plan

Family health support

Job summary

The Bank in Bromley is seeking a Quantitative Engineer to design and implement scalable data and analytics components for Global Risk. You will work with modelers, risk managers and technologists across the full data stack to understand current state and shape future analytics.

Applicants should have strong Python and software development experience, familiarity with big data technologies, and a degree in Computer Science or a related field.

Qualifications

Bachelor's degree in Computer Science or a closely related field, or equivalent work experience.
Strong programming skills (Python) and understanding of the Software Development Life Cycle.

Responsibilities

Apply quantitative methods to develop capabilities meeting risk management and regulatory requirements.
Understand financial data schemas, flow, size, data issues and controls.
Build performant big data pipelines and deliver high quality code for models and testing processes.
Collaborate with stakeholders to understand modeling and testing requirements and design the future data/analytics state.
Design and develop models and tests; document models and tests for internal/regulatory purposes.

Skills

Python

Software engineering

Big data

Data analytics

Machine learning basics

Education

Bachelor's degree in Computer Science or related field

Tools

Spark

Hadoop

PySpark

Hive

Job description

Applicants should have strong Python and software development experience, familiarity with big data technologies, and a degree in Computer Science or a related field.

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