Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

AVPVP Quantitative Strategist Equities 16193

GIC
London
7 months ago
Applications closed

Location:London

Job Function:Public Equities

Job Type:Permanent

Req ID:16193

GIC is one of the worlds largest sovereign wealth funds. With over 2000 employees across 11 offices around the world we invest in more than 40 countries globally across asset classes and businesses. Working at GIC gives you exposure to an extraordinary network of the worlds industry leaders. As a leading global longterm investor we Work at the Point of Impact for Singapores financial future and the communities we invest in worldwide.

Public Equities (EQ)
We generate sustainable superior returns through active investments across global equity markets. Strategies include total return strategies absolute return strategies and relative return strategies. Our longterm orientation and strong relationships with corporates provide us with opportunities to capitalize on market volatility to deliver strong investment performance

We are seeking an experienced professional to join our department as a Quantitative Strategist embedded within an investment team.

What impact can you make in this role

In this role you will leverage diverse datasets and apply quantitative and AI/ML techniques to provide actionable insights and recommendations at the single name and/or sector/country level. These insights will translate into portfolio actions and enhance our investment process which spans from idea generation due diligence portfolio construction risk management and monitoring.

You will conduct quantitative research and analysis to help our investment team understand the impact of various macro drivers and events on the portfolio. Additionally you will gather internal data to perform ongoing quantitative research and studies providing an unbiased datadriven feedback loop to improve the investment decisionmaking and research quality of our PMs and analysts.

Furthermore you will utilize data and quantitative techniques to aid in developing hedging solutions and thematic/eventbased strategies.

What will you do as a Quantitative Strategist

  • Partner portfolio managers and analysts to leverage data quantitative methods and AI/ML for research and analysis validating investment hypotheses and providing actionable insights to help screen for investment opportunities and conduct due diligence at the single name and/or sectoral levels.
  • Harness risks models quantitative portfolio construction and optimization techniques to provide sizing recommendations.
  • Conduct quantitative research and analysis work to understand how macro drivers such as interest rates and inflation affect companies and incorporate this understanding into your analysis.
  • Utilize quantitative and network information to perform sensitivity and impact analysis of events and reporting.
  • Perform ongoing portfolio risk and performance monitoring through the teams quantitative portfolio diagnostic analytics framework.
  • Apply behavioural analytics to help PMs and analysts to make better decisions and on their research qualities respectively.
  • Harness data and quantitative methods to aid in the development and implementation of thematic/eventbased strategies.
  • Develop implement and maintain models and analytics to provide continuous insights and aid in institutionalize our knowledge.
  • Share and crosspollinate quantitative applications analysis and tools within and across departments sharing insights relevant to various investment teams within and outside of EQD.

What qualifications or skills should you possess in this role

  • Relevant experience in quantitative research and analysis.

  • Strong expertise in company fundamentals valuations and quantitative portfolio constructions

  • Experience with alternative data and its application in forming leading indicators.

  • Proficiency in R or Python and SQL.

  • Excellent communication skills with the ability to understand influence and obtain buyin from stakeholders effectively.

  • Sector specialization and experience with equity sectors are a plus.

  • Ability to work independently and as part of a team in a fastpaced environment.

Work at the Point of Impact
We need to be forwardlooking to attract the right people to help us become the Leading Global Longterm Investor. Join our ambitious agile and diverse teams be empowered to push boundaries and pursue innovative ideas share your views and be anchored on our PRIME Values: Prudence Respect Integrity Merit and Excellence which guides us in how we make our daytoday decisions. We strive to inspire. To make an impact.

Flexibility at GIC
At GIC our offices are vibrant hubs for ideation professional growth and interpersonal connection. At the same time we believe that flexibility allows us to do our best work and be our best selves. Thus our teams come into the office four days per week to harness the benefits of inperson collaboration but have the flexibility to choose which days they work from home and adjust this arrangement as situational needs arise.

GIC is an equal opportunity employer
GIC is an equal opportunity employerGIC is an equal opportunity employer and we value diversity. We do not discriminate based on race religion color national origin sex gender gender expression sexual orientation age marital status veteran status or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process to perform essential job functions and to receive other benefits and privileges of employment.

Please at any point of the application or interview process if adjustments need to be made due to a disability.

Learn More
Learn more about our Public Equities Department here: Experience:

Exec


Key Skills
Presentation Skills,Risk Management,Financial Services,IFRS,Banking,Pricing,Analysis Skills,Securities Law,Investment Banking,Relationship Management,Strategic Planning,Leadership Experience
Employment Type :Full Time
Experience:years
Vacancy:1

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Jobs

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

Jobs

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Jobs

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.