Head of quantitative modeling Work, Jobs in Upminster, Gtl (with Salaries)

Refineries Analyst
Kpler —London
- Full-time
- Bachelor's degree
- AI
- Python
Head of Data Science
The Economist Group —London
- Hybrid work
- AWS
- AI
- Leadership
- Employee assistance programme
Quick apply
Senior Quantitative Analyst
BMLL Technologies —London
- Full-time
- Hybrid work
- Childcare
- Azure
- Master's degree
- Life insurance
Quick apply
4d
Associate, Infrastructure Secondaries
Ares Management —London
- Full-time
- Microsoft Powerpoint
- Microsoft Excel
- Analysis skills
12d
Market Risk Quant
Capital Fund Management —London
- Doctoral degree
- Master's degree
- SQL
Head of Risk Measurement and Policy
Corpay —London
- Full-time
- Presentation skills
- Banking
- Life insurance
Product Solutions Architect – Risk & Performance
SimCorp A/S —London
- Full-time
- Hybrid work
- English
- Product management
- Flexible schedule
Senior Research Scientist, Mathematical Foundations
Basecamp Research —London
- Full-time
- Machine learning
- Life insurance
Quick apply
21h
Quant Analyst
Euronext —London
- Full-time
- Master's degree
- SQL
- Analysis skills
Securitization Origination
BBVA —London
- Full-time
- Bilingual
- Spanish
- Data analysis skills
22h
Senior Commercial Analyst
Elliptic —London
- Full-time
- Hybrid work
- SQL
- Python
- Annual leave
Quick apply
3d
Senior Analyst, Power Markets
Lightsource BP —London
- Microsoft Powerpoint
- Microsoft Excel
- Master's degree
Credit Analyst (Analyst / Senior Analyst - Financial Institutions Team (FI) London
Fitch Ratings —London
- Microsoft Word
- Microsoft Excel
- English
11d
Senior Pricing Actuary (m/f/d)
Allianz —London
- Full-time
- Hybrid work
- SQL
- Bachelor's degree
- Machine learning
Senior Risk Analyst, Private Credit Investment Risk
Invesco —London
- Full-time
- Hybrid work
- Data analysis skills
- Bachelor's degree
- Annual leave
- Life insurance
Director, Equity Risk (Global Lead)
T. Rowe Price —London
- Full-time
- Doctoral degree
- Data analysis skills
- Master's degree
EMEA Equities Valuation Control Group Manager, Senior Vice President
Citi —London
- Full-time
- Hybrid work
- Management
- Data analysis skills
- Master's degree
- Employee assistance programme
- Employee discount

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head of quantitative modeling jobs near upminster, gtl

Refineries Analyst

Kpler
London

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Job details

Full-time

Qualifications

Sourcing
Bachelor's degree
PostgreSQL
Data visualisation
SaaS
AI
Python

Full job description

At Kpler, we are dedicated to helping our clients navigate complex markets with ease. By simplifying global trade information and providing valuable insights, we empower organisations to make informed decisions in commodities, energy, and maritime sectors.

Since our founding in 2014, we have focused on delivering top-tier intelligence through user-friendly platforms. Our team of over 700 experts from 35+ countries works tirelessly to transform intricate data into actionable strategies, ensuring our clients stay ahead in a dynamic market landscape. Join us to leverage cutting-edge innovation for impactful results and experience unparalleled support on your journey to success.

Your future position

Kpler’s Oil & Chemicals business unit is rapidly advancing its real-time analytics and is looking for a technically sharp, data-literate Refineries Analyst to join its growing global team.

In this role, you will take absolute ownership of the data integrity, maintenance, and quality control of our bottom-up refinery models. You will synthesize Kpler’s industry-leading proprietary data-including live crude flows, production, pipeline volumes, and inventory levels-into a cohesive modeling framework, utilizing our internal Linear Programming (LP) model as a core tool for tuning and optimization. By connecting upstream inputs and offline events with real-world refinery capacities and yields, you will ensure our models seamlessly integrate into Kpler’s broader Supply & Demand balances.

Because you are joining us during an ambitious product expansion, you will play a foundational role in the evolution of our platform. This is a truly hybrid-minded position where you will serve as the subject matter expert bridging the gap between physical market reality and technical architecture-partnering closely with our Product Engineering team to build, refine, and validate our most sophisticated fundamental datasets.

Your mission is to:

Maintain data integrity, capacity, and offline event records for individual refinery models and regional balances, utilizing the internal Linear Programming model for tuning.
Prioritize the validation and improvement of existing models; data quality and domain expertise are the critical drivers for this role.
Lead the effort to backtest and guide models using external data sources (EIA, JODI, IRR, ANP) to ensure outputs align with physical market realities.
Apply a deep understanding of distillation, reforming, FCC, and blending to optimize refinery circuit views and regional supply/demand dynamics.
Source and leverage large datasets using Python, PostgreSQL and to automate data flows and improve model accuracy.
Collaborate with Data, Product, Engineering, and Sales teams to provide insights for refineries product development.
Respond to internal and external data requests and client queries in a timely manner.

Experience & Background

Essential:

At least 3–5 years of experience as a Refinery Economist, Refining Analyst, LP Modeler or related roles.
A deep understanding of physical refinery unit operations (Distillation, Reforming, FCC, Blending, etc.) and refinery economics (flows, pricing, regulations, and arbitrage dynamics).
Practical experience using industry-standard Linear Programming software (Aspen PIMS, AVEVA Unified/Spiral, or Haverly GRTMPS) is essential to be functional in this role.
Comfortable with Python and PostgreSQL
Proven experience sourcing and leveraging external data (EIA/JODI/IRR) to model refineries.
Strong background in data-driven modeling, validation, and managing input data integrity (e.g., capacity and offline events).

Desirable:

Experience with refinery optimization, especially with a focus on circuit-wide views.
Experience with data visualization.
Past experience contributing to SaaS product or data improvement initiatives.
Experience in leveraging AI tools (Claude, Cursor, etc) for data analysis & management, and general workflow optimization

Behavioural Competencies:

Ownership of day-to-day work and strong attention to detail.
Self-starter, thrives in an ambitious, early-stage product environment without requiring direct supervision.
Eagerness to invest significant time in individual refinery tuning and bottom-up modeling.
Driven to find data to backtest and guide models.
Client-facing confidence.

Qualifications

Bachelor’s degree in a technical or quantitative field, with proven experience applying modeling techniques in commercial or research environments

We are a dynamic company dedicated to nurturing connections and innovating solutions to tackle market challenges head-on. If you thrive on customer satisfaction and turning ideas into reality, then you’ve found your ideal destination. Are you ready to embark on this exciting journey with us?

We make things happen

We act decisively and with purpose, going the extra mile.

We build together

We foster relationships and develop creative solutions to address market challenges.

We are here to help

We are accessible and supportive to colleagues and clients with a friendly approach.

Our People Pledge

Don’t meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don’t match 100% of the job requirements. Don’t let the confidence gap stand in your way, we’d love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team.

Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Apply Now

Refine Your Search

head of quantitative modeling jobs in upminster, gtl

Refineries Analyst

Head of Data Science

Senior Quantitative Analyst

Associate, Infrastructure Secondaries

Market Risk Quant

Head of Risk Measurement and Policy

Product Solutions Architect – Risk & Performance

Senior Research Scientist, Mathematical Foundations

Quant Analyst

Securitization Origination

Senior Commercial Analyst

Senior Analyst, Power Markets

Credit Analyst (Analyst / Senior Analyst - Financial Institutions Team (FI) London

Senior Pricing Actuary (m/f/d)

Senior Risk Analyst, Private Credit Investment Risk

Director, Equity Risk (Global Lead)

EMEA Equities Valuation Control Group Manager, Senior Vice President

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