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Data Engineer, Financial Risk

Big Data JobsData Engineer

Oxford

Contract, Full time

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Job description

Global Canopy is a data-driven not for profit that targets the market forces destroying nature. We do this by improving transparency and accountability. We provide innovative open-access data, clear metrics, and actionable insights to leading companies, financial institutions, governments and campaigning organisations worldwide.

Nature-related Finance: Nature loss poses material risks to financial institutions, as studies show more than half of global GDP is moderately or highly dependent on nature. Lack of high-quality nature-related data is one of the biggest obstacles holding financial institutions back from addressing nature-related risks. Global Canopy innovates to increase the scope, quality and accessibility of freely available data. We work to enable investors, lenders, insurers, financial regulators and others in the sector to identify and mitigate their impacts and dependencies on nature - and to seize the opportunity of investing in nature-positive solutions. Our work on nature-related finance centres on three collaborative flagship projects, the Taskforce on Nature-related Financial Disclosures (TNFD), ENCORE and The Little Book of Investing in Nature.

An exciting role for a data-savvy and highly motivated candidate with strong technical expertise to help increase Global Canopy's impact by making world-leading environmental and financial data more accessible to our key audiences in the finance sector, business, government and civil society.

The role requires strong data engineering and data management skills, as well as strong analytical and strategic thinking.

The role will focus in particular on the ENCORE tool which helps governments, central banks, financial institutions and businesses assess their nature-related risks and impacts around the world.

Requirements

To be successful in this role, these are the things that will matter the most:

  • Strong professional experience in data management/engineering, including skills for pooling and organising different datasets together.
  • Excellent analytical and conceptual development skills with both an eye for detail and accuracy and an ability to see the bigger picture, including Global Canopy's role in the sustainable finance landscape.
  • A strong drive to understand financial institutions and corporates' needs in financial risk assessment and ways to maximise impact on their sustainable behaviour.

Desirable attributes:

  • Coding in Python and/or R and/or Matlab.
  • Experience in supply chain analysis, eg. MRIO.
  • Experience with sustainable finance/ecological economics/ecology.
  • Experience with risk-assessment methods at financial institutions and/or central banks (eg. Value-at-Risk, stress testing…).

At Global Canopy, we value diversity and inclusion. You can read our diversity statement on our website. We encourage applications from all backgrounds and are committed to having a team with a diverse set of skills, experiences and abilities. We are committed to reducing systemic barriers in our recruitment processes.

Global Canopy works on issues of tropical deforestation. We are particularly interested in strengthening our team to include those with a background from forest regions such as Latin America and South East Asia. We welcome applications from people from these regions.

Global Canopy is an inclusive employer and accommodations will be made to allow anyone who requires additional support to apply for this role. Please get in touch with us if you require any additional support.

To find out more, download the recruitment pack or visit our website.

We aim to maintain an anonymous shortlisting process, please do NOT include your name in the cover letter you submit with your application.

Benefits

Salary

£52,000 full time equivalent

This role sits within Band C on Global Canopy's remuneration framework.

Nature of contract

Full time, Permanent. We are a flexible employer and welcome candidates wishing to work flexibly.

Base

Our office is in Oxford, with flexible home-working arrangements in place.

Holidays

36 days (including bank/public holidays) for discretionary use across the annual leave year. Option to purchase up to an additional 5 days or equivalent of one week's leave.

Pension

Employer pension contribution of 7%.

Healthcare cashback plan

Covering dental fees, eye-care, wellbeing, physiotherapy, chiropody and much more - for you and any children.

Employee Assistance Programme

Which provides free, confidential advice on personal and legal matters.

Other

Huge range of discounts and cashback deals at gyms, restaurants, holidays, and much more.

Application url

This job is located on a third party website

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