Quantitative Commodity Researcher & Strategist

Neuberger Berman
London
1 month ago
Create job alert

Company Name: Neuberger Berman Location: London or New York Job Type: Full-time

Responsibilities

· Research:

o Conduct fundamental and quantitative research across commodities, building a comprehensive research pipeline.

o Develop and refine innovative short-, medium-, and long-term commodity trading strategies using both quantitative and fundamental analysis.

o Collaborate with portfolio managers to enhance trading strategies and deliver actionable insights.

· Thought Leadership:

o Produce content on commodity fundamentals for client communications, including quarterly letters, white papers, academic papers, blog posts, and webinars.

o Provide thought leadership by translating complex data into actionable intelligence.

· Business Growth:

o Engage in front-facing roles within sales, marketing, and client service.

o Build and maintain strong relationships with clients, delivering timely market insights.

· Portfolio Monitoring and Management:

o Assist in portfolio, trading, and account management.

o Actively engage with portfolio managers to ensure continuous information flow.

o Monitor global financial markets, economic indicators, news, and geopolitical events to identify trading opportunities and assess risks.

Qualifications

· At least five years of experience in a cross-commodity research role, with demonstrated ability to conduct and deliver research.

· Strong academic record and a degree with high mathematical, statistical, and computing content, such as Mathematics, Computer Science, Engineering, or Economics from a leading university.

· Proficient in applying insights from commodity academic literature and understanding market fundamentals.

· Experience in a high-level programming language, ideally R or Python.

· Strong analytical skills with practical expertise in statistics and portfolio construction techniques.

· Excellent written, verbal, and presentation skills.

· Ability to manage multiple research projects independently and collaboratively.

· Strong work ethic, curiosity, attention to detail, and a hands-on approach.

· Keen interest or experience in financial markets with a meticulous, analytical approach to problem-solving.

· Experience using AI tools like ChatGPT or other language models to enhance research and strategy development is advantageous.

· Experience in systematic trading is advantageous.

Personal Attributes

· Proactive, driven attitude for owning research from idea generation to implementation.

· Intellectually robust with a positive, analytical approach to problem-solving.

· Self-organized and capable of managing time across multiple projects with competing priorities.

· Strong interpersonal skills for building relationships with quantitative researchers, traders, and senior business leaders.

· Confident communicator who can articulate points clearly and handle differing viewpoints constructively.

Neuberger Berman is an equal opportunity employer. The Firm and its affiliates do not discriminate in employment because of race, creed, national origin, religion, age, color, sex, marital status, sexual orientation, gender identity, disability, citizenship status or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact .

Learn about the .

Related Jobs

View all jobs

Urgent Search! Quantitative Commodity Researcher &Strategist

Quantitative Analyst/Researcher - Energy Trading Firm - UK Remote, Doha Qatar Travel

Quantitative Analyst/Researcher - Energy Trading Firm - UK Remote, Doha Qatar Travel

Quantitative Analyst/Researcher - Energy Trading Firm - UK Remote, Doha Qatar Travel

Quantitative Researcher - Equities

Quantitative Researcher - Private Assets - Credit Focus

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs in the Public Sector: Exploring Opportunities Across GDS, NHS, MOD, and More

Data science has emerged as one of the most influential fields in the 21st century, transforming how organisations make decisions, improve services, and solve complex problems. Nowhere is this impact more visible than in the UK public sector. From the Government Digital Service (GDS) to the National Health Service (NHS) and the Ministry of Defence (MOD), government departments and agencies handle vast amounts of data daily to support the well-being and security of citizens. For data enthusiasts looking to make a meaningful contribution, data science jobs in the public sector can offer rewarding roles that blend innovation, large-scale impact, and societal benefit. In this comprehensive guide, we’ll explore why data science is so pivotal to government, the roles you might find, the skills needed, salary expectations, and tips on how to succeed in a public sector data science career.

Contract vs Permanent Data Science Jobs: Which Pays Better in 2025?

Data science sits at the intersection of statistics, machine learning, and domain expertise, driving crucial business decisions in almost every sector. As UK organisations leverage AI for predictive analytics, customer insights, and automation, data scientists have become some of the most in-demand professionals in the tech job market. By 2025, data scientists with expertise in deep learning, natural language processing (NLP), and MLOps are commanding top-tier compensation packages. However, deciding whether to become a day‑rate contractor, a fixed-term contract (FTC) employee, or a permanent member of an organisation can be challenging. Each path offers a unique blend of earning potential, career progression, and work–life balance. This guide will walk you through the UK data science job market in 2025, examine the differences between these three employment models, present sample take‑home pay scenarios, and offer strategic considerations to help you determine the best fit for your career.

Data Science Jobs for Non‑Technical Professionals: Where Do You Fit In?

Beyond Jupyter Notebooks Ask most people what a data‑science career looks like and they’ll picture Python wizards optimising XGBoost hyper‑parameters. The truth? Britain’s data‑driven firms need storytellers, strategists, ethicists and project leaders every bit as much as they need statisticians. The Open Data Institute’s UK Data Skills Gap 2024 places demand for non‑technical data talent at 42 % of all data‑science vacancies—roles focused on turning model outputs into business value and trustworthy decisions. This guide highlights the fastest‑growing non‑coding roles, the transferable skills many professionals already have, and a 90‑day action plan to land a data‑science job—no pandas required.