Senior Quantitative Engineer – Finance Analytics

LSEG; Greater London; On-site; GBP 70,000 - 90,000; Full time

Benefits offered by this job

Healthcare benefits

Retirement planning

Paid volunteering days

Job summary

A prominent financial services provider is seeking a skilled Quantitative Engineer to develop robust applications that support trillions in assets. The role involves writing efficient code for index calculations, analyzing financial datasets, and collaborating with teams to enhance the Firm’s analytics. Ideal candidates will have an MSc or PhD, at least 2 years in quantitative analytics, and strong programming skills in Python and SQL, along with a passion for innovation in the financial sector.

Qualifications

• Minimum 2 years experience in quantitative analytics within financial services.
• Strong programming skills in Python and SQL with familiarity in APIs.
• Ability to write high performance code and familiarity with software engineering best practices.

Responsibilities

• Write clean, efficient code for index calculations and analytics frameworks.
• Integrate and analyze financial datasets including traded instruments.
• Collaborate with teams to support day-to-day activities and transition code.

Skills

Quantitative analytics

Software engineering

Data analysis

Programming in Python

SQL expertise

Cloud development

Education

MSc or PhD in Mathematics, Computer Science, Financial Engineering, Statistics, Physics

Tools

Python libraries (numpy, pandas, scipy, cvxpy)

SQL technologies (SQL Server, Sybase, Snowflake, PostgreSQL)

Cloud services (AWS, EC2, Lambda)

Job description

A prominent financial services provider is seeking a skilled Quantitative Engineer to develop robust applications that support trillions in assets. The role involves writing efficient code for index calculations, analyzing financial datasets, and collaborating with teams to enhance the Firm’s analytics. Ideal candidates will have an MSc or PhD, at least 2 years in quantitative analytics, and strong programming skills in Python and SQL, along with a passion for innovation in the financial sector.