Rodeo
ResourcesPartnersSign in

Engelhart

Quantitative Developer

London
Posted about 18 hours ago
Sign up to applySee more jobs like this

How your CV stacks up

1Upload CV
2Analyse CV
3Improve CV

Upload your CV to see how well it fits this job role

?%

About Us

Engelhart was founded in 2013 by BTG Pactual Group as a commodities trading company. Our business model is “asset light” and highly diversified – giving us the ability to adapt effectively and nimbly to changing market conditions. We have assembled successful multidisciplinary teams, leveraging advanced fundamental analysis with deep quantitative and weather research capabilities. Our activities are underpinned by strong risk management practices and by powerful technology and operational excellence. We have exceptional teams with diverse global backgrounds and decades of experience, and are driven by a highly collaborative culture, across products and competencies.

In 2024, Engelhart acquired Trailstone, a global energy trading and technology company. The acquisition provides us with new expertise, analytics and proprietary technology which is being used to provide risk management and optimisation services to help maximise the value of our clients’ renewable power. The acquisition also expanded Engelhart’s capabilities into physical natural gas across North America, a critical fuel to support the energy transition.

Our talented and experienced individuals work together according to its four company values: Performance, Agility, Collaboration, Entrepreneurship.

About the Role

We have a new opportunity for a technically strong Quantitative Developer to join our growing Global Oil desk in the London office. This role sits at the intersection of data engineering, quantitative research and trading, with direct exposure to PnL-driven decision-making. We will provide direct and hands-on mentorship from senior quants and portfolio managers, offering the opportunity to gain insights into hedge fund data strategy and macro trading.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

See breakdown
Save jobNot relevant
View details

It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

See breakdown
Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

See breakdown
Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

The successful candidate will play a key role in building and optimising data infrastructure that supports investment decisions, while developing a strong commercial understanding of financial markets at desk.

This will be a full-time role, owning the following responsibilities:

  • Assisting with the design and implementation of scalable architectures for large time-series datasets (market, economic and alternative data).
  • Developing and maintaining data pipelines to ingest, clean, and store structured and unstructured datasets.
  • Improving and optimising data querying, storage formats and indexing to enable efficient analysis.
  • Managing and enhancing database environments, ensuring high performance and reliability.
  • Working closely with portfolio managers and traders to ensure data is actionable and aligned with commercial needs.
  • Identifying opportunities to extract commercial value from data, not just collecting it.
  • Contributing to data standards, documentation and automation of workflows.
  • Supporting the development of tools and datasets that directly impact trading strategies and PnL.

About You

This person will gain direct exposure to real-world trading and macro strategy, collaborating closely with experienced quants and traders. As a result, we believe the following background of experiences and skills will best set up this person for success:

  • A recent degree in Computer Science, Data Science, Engineering or a related quantitative discipline.
  • Experience working on market modelling, quantitative research or data-heavy projects (academic or professional).
  • An understanding of time-series data structures, databases and processing techniques.
  • Prior exposure to a bank, trading house, hedge fund or physical trading environment is advantageous.
  • Any trading experience or strong market interest is highly valued.

Get help with your application

Your very own career expert that helps elevate your application to the next level.

Get help applying for this job

In addition, the following technical skill set will be complimentary:

  • Experience with SQL and Python.
  • An understanding of libraries such as pandas, NumPy or similar.
  • Familiarity with time series databases (e.g., kdb+, InfluxDB, TimescaleDB) is a plus.
  • Knowledge of cloud-based data solutions (AWS, Azure, GCP) is preferred.

What we offer

  • Competitive compensation and participation in Engelhart’s discretionary bonus plan.
  • 25 days of annual holiday entitlement, excluding UK public holidays.
  • Robust benefits package such as medical, dental, life insurance, generous pension contribution, and supplemental benefits partially subsidised by the Company.
  • Eligibility to receive external and internal training in accordance with our Training & Development Policy.

We believe in inclusivity and are therefore dedicated to ensuring all employees – across gender identity, race, ethnicity, sexual orientation, religion, life experience, background and more – feel welcome and included in the company. We promote diversity because we believe it is essential to our ability to think holistically.

Trusted by 25,000+ job seekers

“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”

Jessica, London

Get help applying for this job

Skills

Python
SQL
Pandas
NumPy
Time-Series Databases
Cloud Data Solutions
Data Engineering
Quantitative Research
Market Modelling
Data Pipeline Development
Database Management
Scalable Architecture

Location

London, England, United Kingdom

Sign up to applySee more jobs like this