Quantitative Engineer

United States Digital Space LLC; Orpington; On-site; GBP 90,000 - 130,000; Full time

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

Job Description:

Job Title: Quantitative Engineer

Corporate Title: Up to Vice President

Location: Bromley

Company Overview:

At the company, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities, and shareholders every day.

One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We're devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.

the company believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization.

Working at the company will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us!

Location Overview:

Join our bustling Bromley office, situated in one of London's greenest boroughs. Here you'll find plentiful and easy commuting routes, with central London just 15 minutes away by train.

Job Description:

Quantitative engineers in Global Risk are responsible for designing and implementing 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 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 modelling 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.

Responsibilities:

• 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 modelling 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 modelling 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

What we are looking for:

• Candidates should meet all or a subset of the following 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 Modelling / quantitative: basic modelling techniques (regression, classification, clustering, etc)

Required Skills:

• 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 Several years relevant professional experience or evidence of personal projects and endeavours that show a passion for coding and problem solving. 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 Strong Python development skills (including Pandas and related data-processing libraries). Experience with big data technologies such as Spark, PySpark, Hadoop, and Hive Exposure to quantitative modelling or financial modelling is a plus but not required.

Skills that will help:

• Global Risk Management experience

Benefits of working at the company (UK):

• At the company, we strive to prioritise employees' health and wellbeing - it's what makes us a Great Place to Work Private healthcare for you and your family plus an annual health screen to help you manage your physical wellness with the option to purchase a screen for your partner Competitive pension plan, life assurance, and group income protection cover if you become unable to work because of a disability or health reasons We offer 26-weeks paid maternity leave, 16-weeks paid paternity leave and inclusive family leave arrangements for working parents and carers including 20 days of back-up childcare including access to school holiday clubs and 20 days of back-up adult care per annum The ability to change your core benefits as well as the option of selecting a variety of flexible benefits to suit your personal circumstances including access to a well-being account, travel insurance, critical illness, cycle to work etc. Use of a flex fund to use towards benefits Access to an emotional wellbeing helpline, and virtual GP services Access to the Peppy App which provides 1:1 support, consultations and resources relating to men's health, women's health, fertility, menopause, and pregnancy & parenthood Access to a range of gyms, exercise classes, and wellbeing Apps through Wellhub, including Headspace and Calm Ability to donate to charities of your choice directly through payroll and the bank will match your contribution Opportunity to give back to your community, develop new skills and work with new groups of people by volunteering in your local area.

the company:

Good conduct and sound judgment is crucial to our long term success. It's important that all employees in the organisation understand the expected standards of conduct and how we manage conduct risk. Individual accountability and an ownership mind-set are the cornerstones of our Code of Conduct and are at the heart of managing risk well.

We are an equal opportunities employer and ensure that no applicant is subject to less favourable treatment on the grounds of sex, gender identity or gender reassignment, marital or civil partner status, race, religious or similar philosophical belief, political opinion, colour, nationality, ethnic or national origins, age, sexual orientation, pregnancy or maternity, socio‑economic background, responsibility for dependants or physical or mental disability. The Bank selects candidates for interview based on their skills, qualifications and experience.

We strive to ensure that our recruitment processes are accessible for all candidates and encourage any candidates to tell us about any adjustment requirements.