United Kingdom · Finance roles · Mid-Level (2-5 years)

Investment Strategist

Here is the whole job, in plain words. What it is, a real day, what you decide, how you're judged, how people get here and where they go next. Then the part no course gives you: twelve AI tutors who learn your work.

Experience bandMid-Level (2-5 years)
Direct reportsNo direct reports
Reports toSenior Investment Strategist
UK framework levelUsually a coordinator, or early in a professional job

Also advertised as Junior Portfolio Strategist · Macro Research Analyst · Investment Analyst (Strategy Focus)

Built on an analysis of 43,079 real UK job descriptions · grounded in qualifications employers recognise

Start with a free Future Fluency check, tuned to Investment Strategist

Ten quick questions, one per Future Fluency, asked against this role rather than a generic one. About five minutes, and no card.

Start the check, free

1What this role really is

This isn't just about crunching numbers; it's about making sense of the chaos. As an Investment Strategist, you'll be the person piecing together market data, economic indicators, and geopolitical shifts to form a coherent view. You'll own key analytical deliverables, helping our portfolio managers make smarter, more informed decisions. Frankly, you're a critical bridge between raw data and actionable investment ideas.

2What you'd actually use

The tools this job runs on, and how well you'd need to know each one.

Bloomberg TerminalIntermediate

Pulling historical data (HP), running security descriptions (DES), monitoring real-time news (TOP), and building basic worksheets using the Excel API for your daily analysis.

FactSet / Morningstar DirectIntermediate

Running standard portfolio analysis reports, screening for securities based on defined criteria, and pulling attribution reports for your monthly deliverables.

Microsoft ExcelExpert

You'll live in Excel. VLOOKUP/XLOOKUP, pivot tables, complex nested formulas are second nature. You'll build and maintain basic financial models and analysis templates.

Python (pandas, NumPy)Basic

Running and modifying existing scripts for data analysis, backtesting simple strategies, or automating repetitive data tasks. You should understand the syntax and core libraries.

Tableau / Power BIBasic

Connecting to existing data sources and creating simple, pre-defined charts and dashboards for internal team use or to support your reports.

3What you get to decide, and how that grows

Power in a job isn't your title. It's what you're allowed to decide. Here's how it grows as you move up.

The choice	Coming in	Where you are now	The step above
Data Source Selection	Selects pre-approved data sources under supervision.	Independently selects appropriate data sources for routine analysis; consults Senior Strategist for novel data requirements.	Defines and approves new data sources for the team; evaluates vendor proposals.
Analytical Methodology	Executes analysis using defined methodologies.	Chooses appropriate analytical methods for routine problems; proposes new methods for review.	Designs and implements new analytical frameworks; approves methodologies for team use.
Report Content & Messaging	Drafts sections of reports following templates; content reviewed by senior staff.	Owns and drafts complete reports (e.g., monthly commentary); key messages reviewed by Senior Strategist.	Defines the narrative and key messages for major publications; represents the 'House View'.
Client Interaction	No direct client interaction; supports client-facing team with data.	Supports client-facing teams with specific data or analysis; may join client meetings as a subject matter expert (with senior oversight).	Presents firm's views directly to key clients; represents the firm at industry events.

4How you'll be judged

The scoreboard, honestly: the hard targets, how often each one is actually looked at, and the quiet human signals that never make it onto a dashboard.

Report Timeliness

Getting key reports and analyses out on time is crucial. If the Investment Committee doesn't get their pack before the meeting, they can't make informed decisions.

Target · 100% of recurring reports (e.g., monthly market commentary, quarterly asset allocation review) delivered by agreed deadlines.

Your monthly market commentary is due by 5 PM on the first Monday of each month. Delivering it by 4:30 PM consistently means you're hitting the target.

Data Accuracy

One wrong number in a chart or model can completely undermine a recommendation. We need to trust your data implicitly.

Target · Less than 1% error rate on all data inputs and calculations within your owned models and reports.

During a peer review, a colleague spots a formula error that would have understated bond yields by 20 basis points. This would count as an error against your target.

Ad-hoc Request Turnaround

Portfolio managers often need quick answers to support their trading or client discussions. Your ability to respond efficiently is key.

Target · Roughly 80% of ad-hoc data and analysis requests completed within 4 business hours, or a clear communication on expected delivery time if longer.

A PM asks for a quick chart on sector performance post-Brexit vote at 10 AM. Delivering it by 1 PM, or explaining you need until 3 PM due to data cleaning, shows you're on it.

Model Maintenance & Optimisation

The models you own need to be robust and efficient. We can't have them breaking or running slowly.

Target · Zero critical bugs in your owned models; 10% reduction in model run-time or data processing time per quarter.

You refactor a Python script for the inflation forecasting model, reducing its run-time from 30 minutes to 15 minutes, and it runs flawlessly for the entire quarter.

Clarity of Communication

Can you explain complex investment concepts simply? Your written and verbal explanations need to be easily understood by both experts and non-experts.

Portfolio managers regularly comment that your reports are 'easy to digest' or 'cut through the noise'. You can confidently present your findings in team meetings without relying on jargon. Your emails are concise and to the point. Frankly, if people keep asking you to explain things again, you're not there yet.

Proactive Problem Identification

We don't want you just following instructions. We need you to spot potential issues or opportunities before they become problems.

You flag an inconsistency in a data series before it impacts a report. You suggest a new data source that could improve our analysis. You identify a gap in our current research coverage and propose a new project. It's about thinking ahead, not just reacting.

Reliability & Follow-Through

When you say you'll do something, we need to know it'll get done, and done well.

You consistently meet deadlines without reminders. You follow up on outstanding data requests. Colleagues trust you to deliver on your commitments, even when things get busy. If you drop the ball, you own it and fix it quickly.

Intellectual Contribution

Are you just processing data, or are you actually adding value with your own insights and perspectives?

You bring novel ideas to team discussions. Your questions challenge existing assumptions in a constructive way. You contribute original thoughts to market commentaries, not just summaries of others' views. You're not afraid to have a point of view, even if it's a bit contrarian.

5Would you like it

The honest version. What people enjoy, and what grinds them down.

What people enjoy

Impact on Real-World Decisions

You'll be directly contributing to investment decisions that affect millions of pounds of client assets. Your analysis isn't just academic; it's used every day.

Seeing a portfolio manager adjust their bond allocation based on your interest rate outlook, and then seeing that decision pay off for clients.

Continuous Learning & Intellectual Challenge

The markets are constantly evolving, meaning there's always something new to learn, a new theory to test, or a new problem to solve. You'll never be bored.

Spending your lunch break reading a new academic paper on factor investing, then trying to apply its principles to our in-house models.

Solving Complex Puzzles

You love taking disparate pieces of information – economic data, company reports, central bank statements – and piecing them together into a coherent narrative or forecast.

Building a new model that accurately predicts currency movements based on a combination of trade data and interest rate differentials.

What frustrates people

The Market's Stubborn Irrationality: You'll spend weeks building a bulletproof, data-driven thesis only to watch the market do the exact opposite for six months straight for no logical reason. It's infuriating.
The 'So, What's Your Call?' Pressure: The constant expectation to have a high-conviction view on every single asset class and geopolitical event, even when the most honest answer is 'It's too uncertain to call.'
Portfolio Manager Disregard: Carefully crafting a tactical asset allocation recommendation that gets presented, complimented, and then completely ignored by portfolio managers who prefer to stick with their own pet stocks. It happens.
The Month-End Data Scramble: The recurring chaos of trying to reconcile data from multiple, often messy, sources to get the investment committee deck finalised before the deadline. It's tedious, but someone has to do it.

What this role does not give you

A predictable, 9-to-5 routine – urgent requests and market events don't care about your schedule.
A quiet, solitary existence – you'll be constantly interacting with people and defending your ideas.
Instant gratification – investment results often take months or years to play out, and sometimes your best ideas don't work out immediately.

6Who you work with

Your work directly underpins the 'House View' – our firm's official investment outlook. You'll be contributing significantly to the research that informs strategic and tactical asset allocation decisions across all client portfolios. Get it right, and you help shape successful investment outcomes. Get it wrong, and it can lead to missed opportunities or even capital losses for our clients. No pressure, eh?

Inside the business

Senior Investment Strategists (your direct team)
Portfolio Managers (who use your research)
Quantitative Analysts (who build the models you use)
Product Development (who need market insights for new offerings)
Sales & Client Relationship Managers (who need to explain our views to clients)

Outside the business

Data vendors (Bloomberg, FactSet)
Industry peers (at conferences or through research sharing)
Economic research providers

7What you need before you start

Not a wish list. The things you would be expected to already have.

At least 2 years of experience in an investment analysis, research, or strategy role within a financial institution (asset manager, wealth manager, investment bank).
Proven ability to conduct independent research and analysis, producing clear and actionable insights.
Demonstrable experience with financial data terminals (Bloomberg or FactSet) and advanced Excel modelling.
A solid understanding of macroeconomic principles and their impact on financial markets.
Excellent written and verbal communication skills, with a track record of presenting complex information clearly.

8What to practise next

Where the job is going, and what to do about it starting this week.

Advanced Python for Financial Modelling

Python is rapidly becoming the lingua franca for quantitative finance. While you're at a basic level now, moving to advanced proficiency will unlock significant capabilities for custom model building, complex backtesting, and data automation.

Object-Oriented Programming (OOP) for Model Design · Time Series Analysis with statsmodels & Prophet · Machine Learning for Predictive Modelling (e.g., scikit-learn) · Cloud Computing for Scalable Analytics (e.g., AWS Sagemaker)

This quarter: Complete an online course on advanced Python for finance (e.g., Quantra, Coursera).
Next quarter: Take ownership of refactoring one of our existing Excel models into a Python script.
Month 6: Start experimenting with a simple machine learning model to predict a specific market variable.
Month 9: Present a new analytical tool or model you've built in Python to the team.

Quick win: Automate one repetitive data cleaning task you currently do in Excel using a Python script. Even a small win builds confidence.

9Staying current once you are in

What people here do to keep up

Regularly read industry publications (e.g., Financial Times, Wall Street Journal, Economist) and academic journals (e.g., Journal of Finance, Journal of Portfolio Management).
Attend relevant industry conferences and webinars on macroeconomic trends, asset allocation, or quantitative finance.
Participate in internal training programmes on new analytical tools or investment methodologies.
Actively seek out mentorship from senior colleagues within the Investment Strategy team or wider Finance_roles department.

10How the AI economy is changing work like this

Before we ask anything of you, here's what we can already say about AI and work of this kind:

The new skill this role is being asked for: Prompt Engineering & LLM Integration

Competitors are already using Large Language Models (LLMs) to draft reports in minutes that used to take hours. Analysts who figure this out will outproduce their peers significantly. This isn't future tech; it's here now.

We'll only ever tell you what we can actually back up. No hype, no scare tactics.

The rising capability

Zavmo analysis

What's rising in its place

This is where the work is heading, and the higher pay with it. Get fluent here and the shift stops being a threat and starts being your edge.

Prompt Engineering & LLM Integration

Competitors are already using Large Language Models (LLMs) to draft reports in minutes that used to take hours. Analysts who figure this out will outproduce their peers significantly. This isn't future tech; it's here now.

Context Windows & Token Limits
Temperature Settings for Different Tasks
RAG Architectures for Proprietary Data
Output Validation & Hallucination Detection

Behavioural Finance Application

While we're data-driven, human psychology still drives markets. Understanding biases—both in the market and in our own decision-making—is becoming critical for superior risk management and alpha generation.

Cognitive Biases (e.g., Confirmation Bias, Anchoring)
Emotional Biases (e.g., Loss Aversion, Overconfidence)
Nudging & Debiasing Strategies
Market Anomalies Explained by Behavioural Finance

What you’ll use

Skills this role draws on

Technical

Macroeconomic Analysis
Strategic & Tactical Asset Allocation (SAA/TAA)
Capital Market Assumptions (CMA) Development
Factor & Thematic Investing
Portfolio Construction & Risk Management

The pathway

How you actually get there, here

How you become one varies far more by country than what one does. This is the UK route. Most people take one of these ways in; the right one depends on where you're starting from.

1
Investment Strategy Analyst (L1)
2-3 years
Skills to master
- Data gathering and validation, basic report generation, understanding of market fundamentals, proficiency with core financial terminals.
You're ready to move on when
- Consistently delivers accurate data and reports on time.
- Can explain basic market concepts and their impact.
- Proactively identifies data inconsistencies.
- Shows initiative in learning new tools and methodologies.
2
Junior Quantitative Analyst
2-4 years
Skills to master
- Strong programming skills (Python/R), statistical modelling, backtesting methodologies, understanding of financial derivatives.
You're ready to move on when
- Can build and maintain robust quantitative models.
- Effectively communicates model assumptions and limitations.
- Identifies opportunities to automate analytical processes.
- Collaborates well with investment teams to translate needs into models.
3
Research Associate (Sell-Side/Buy-Side)
3-5 years
Skills to master
- Deep sector-specific knowledge, company-specific fundamental analysis, financial statement analysis, valuation techniques.
You're ready to move on when
- Produces insightful and well-researched reports.
- Can confidently defend investment recommendations.
- Builds strong relationships with industry contacts.
- Understands the drivers of equity or credit markets.

11Where this role leads

The long view:Your career path is ultimately yours to define. We'll provide the opportunities, the learning, and the support, but your ambition and drive will determine how far you go. The investment world is tough, but for those who love the challenge, it's incredibly rewarding.

Pay & demand

Pay and demand for this role will appear here, each figure traced to a named authoritative source (e.g. the ONS Annual Survey of Hours and Earnings, under the Open Government Licence). We don’t show numbers we can’t attribute.

The ten Future Fluencies

Zavmo analysis

The credential is what you can do today. These are what keep you valuable.

A qualification proves you can do the job as it's defined today. These ten are what decide whether you're still the obvious person for it in five years. They're the capabilities employers are now writing into senior roles faster than people are learning them. Zavmo weaves them through whatever you study, so you come out with both: the credential and the fluency.

The highlighted ones are the Fluencies your role leans on hardest, from how Investment Strategist is actually changing. In about two minutes, the free confidence check asks where you stand on each of the ten. That's the whole check, and it's what makes the plan yours rather than generic.

12The team that's yours

No two people are taught the same way. This is one-to-one, not one-to-many.

Zavmo is a hyper-personalised AI learning platform. Twelve virtual tutors, each with a different way of teaching, and one orchestration agent that picks the right one for the moment. So every single lesson is shaped around you, your role, and the way you learn. Not a course everyone sits through. A conversation built for you, and no one else.

…and nine more, matched to you after your first chat. Meet all twelve

Start free and meet yours

13What it feels like

A conversation, not a course

Because your tutor knows your role, your projects and your last session, learning sounds like this. And it's different for every single person:

Preparing and presenting investment market information to stakeholdersLevel 3

Applied to your work in Investment Strategist

This unit aims to enable learners to identify stakeholders' information needs regarding investment market data and obtain appropriate information from relevant sources. Learners will be able to prepare and present this information in a clear and accessible manner, address stakeholder queries, and maintain accurate records.

How the thinking builds

Remember
Understand
Apply
Analyse
Evaluate
Create

An illustration of a Zavmo lesson, built from this role’s own route. The unit, its objective and every criterion above are the awarding body’s own words, not an example.

One to one, not one to many

No two people run this the same way

A course is written once and handed to everyone. This is assembled around you, and keeps changing as it learns you. Five things it reads, and what each one changes.

Your actual work Every lesson is taught against a live piece of your own work, not a worked example from a textbook.
What you already know The first conversation finds your starting point, so you skip what you can already do and spend the time on what you cannot.
The conditions you learn under Not a learning-styles quiz. The evidence does not support those. The dimensions the research does back, read once and used to shape the plan.
How far you got last time It picks up mid-thought. The tutor knows what you said, what you struggled with, and what it asked you to try.
Which tutor suits the moment Twelve of them, each for a different kind of thinking. The one who walks you through a first idea is not the one who stress-tests it.

See how you learn, free. Eight questions, no sign-up. A directional taster; the diagnostic inside Zavmo goes deeper and keeps adapting.

DemonstrateIllustration

Evidenced on your work in Investment Strategist

You do not finish by watching something. You finish by showing it on the work you already do, against the measures this job is judged on.

Report TimelinessGetting key reports and analyses out on time is crucial. If the Investment Committee doesn't get their pack before the meeting, they can't make informed decisions.Your monthly market commentary is due by 5 PM on the first Monday of each month. Delivering it by 4:30 PM consistently means you're hitting the target.100% of recurring reports (e.g., monthly market commentary, quarterly asset allocation review) delivered by agreed deadlines.
Data AccuracyOne wrong number in a chart or model can completely undermine a recommendation. We need to trust your data implicitly.During a peer review, a colleague spots a formula error that would have understated bond yields by 20 basis points. This would count as an error against your target.Less than 1% error rate on all data inputs and calculations within your owned models and reports.
Ad-hoc Request TurnaroundPortfolio managers often need quick answers to support their trading or client discussions. Your ability to respond efficiently is key.A PM asks for a quick chart on sector performance post-Brexit vote at 10 AM. Delivering it by 1 PM, or explaining you need until 3 PM due to data cleaning, shows you're on it.Roughly 80% of ad-hoc data and analysis requests completed within 4 business hours, or a clear communication on expected delivery time if longer.
Model Maintenance & OptimisationThe models you own need to be robust and efficient. We can't have them breaking or running slowly.You refactor a Python script for the inflation forecasting model, reducing its run-time from 30 minutes to 15 minutes, and it runs flawlessly for the entire quarter.Zero critical bugs in your owned models; 10% reduction in model run-time or data processing time per quarter.

These are this job's own measures, with its own targets. Nothing is marked evidenced, because nobody has started this yet. Yours would fill in from the work you bring.

Your passport

This isn't a certificate you file away. It's a passport to the life you're designing.

Every credit you earn and every fluency you build adds up: evidence where it counts, carried with you. Zavmo keeps the map: where you are, where you're heading, and the next step, at your pace, around your life. From Investment Strategist to Senior Investment Strategist (L3), and whatever you decide comes after.

Level 3 · in progressAI Fluency→ Senior Investment Strategist (L3)→ your design

Where this takes you

Your career path is ultimately yours to define. We'll provide the opportunities, the learning, and the support, but your ambition and drive will determine how far you go. The investment world is tough, but for those who love the challenge, it's incredibly rewarding.

See Your Progress GrowIllustration

Investment Strategist

Macroeconomic Analysis
Strategic & Tactical Asset Allocation (SAA/TAA)
Capital Market Assumptions (CMA) Development
Factor & Thematic Investing
Portfolio Construction & Risk Management

This is your Mind Palace on learn.zavmo.ai. Every skill above comes from this role's own record, not an example borrowed from another job. A node lights up when you evidence it, and what you build stays yours between jobs. That is the part a course cannot do.

14The detail, folded away

Everything else the record holds

The career branches in full, how AI is already showing up in the day-to-day, and the questions people ask about this job. Here when you want them, out of the way while you decide.

Where it leads next, rung by rung

Where it leads

The career path, and where it branches

Investment Strategist is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

Senior Investment Strategist (L3)
3-5 years
You'll move from owning specific deliverables to leading entire research workstreams, developing new analytical tools, and mentoring junior colleagues. Your influence on the 'House View' will significantly increase.
- Deep Specialisation: Becoming the go-to expert for a specific asset class, region, or investment theme.
- Model Design & Development: Designing and implementing new analytical models, not just maintaining existing ones.
- Strategic Narrative Development: Crafting the overarching investment story for the firm.

Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, a big chunk of your week is probably spent on repetitive tasks: data gathering, report drafting, sifting through news. Imagine getting that time back. We're not talking about replacing you; we're talking about giving you a serious superpower.

Our firm is leaning into AI to make our investment strategists more efficient and more insightful. You'll have access to tools that can handle the grunt work, freeing you up to focus on the high-value thinking, the 'so what?' questions, and the actual strategy. This isn't just a future vision; it's happening now, and you'll be at the forefront of using these tools.

Automated Macro Data Synthesis

Forget manually pulling economic data from a dozen different central bank websites. Our AI agents will automatically scrape, clean, and standardise economic releases (like CPI, NFP, PMI) into a single, analysis-ready database the moment they're published. You'll get instant, clean data, ready for your models.

AI-Powered Thematic Analysis

Instead of slogging through hundreds of earnings call transcripts or broker reports, you'll use Natural Language Processing (NLP) models to scan and summarise thousands of sources. This helps you identify emerging investment themes, shifts in corporate sentiment, or concentration risks far faster than any human could, giving you a serious edge in idea generation.

Rapid Historical Analogue Research

When a new market event hits (say, a regional banking crisis), you'll use an AI research assistant to instantly find and summarise historical precedents, relevant academic studies, and past market reactions. This means crucial context and insights in minutes, not days, helping you react faster and more intelligently.

First-Draft Commentary Generation

Imagine feeding key data points, model outputs, and a few bullet points into a Generative AI model. It'll then produce a coherent first draft of your weekly market commentary or a client letter. You'll then refine and add nuance, focusing on the strategic message and tone, rather than wrestling with the basic structure. It's like having a dedicated writing assistant.

Common questions

How do you become an Investment Strategist?

Common routes in include Investment Strategy Analyst (L1) (2-3 years), Junior Quantitative Analyst (2-4 years) and Research Associate (Sell-Side/Buy-Side) (3-5 years). Times vary with prior experience.

Where can an Investment Strategist progress to?

This role can lead on to Senior Investment Strategist (L3) (3-5 years), depending on the skills you build.

What level is an Investment Strategist in the UK?

This role aligns to RQF Level 3 on the UK framework, a guide to the depth of qualification it maps to, not a hard entry bar.

What new skills matter most for an Investment Strategist?

Increasingly, Prompt Engineering & LLM Integration and Behavioural Finance Application. These are the areas where the higher-paid, future-proof work is heading.

The honest bit

You’ve started things before

Most of them were built for a room full of people who aren’t you. A cohort moves on whether or not your week allowed it, and by the third week the thing you’re behind on becomes the reason you stop opening it.

There’s no cohort here, and no timetable to fall behind. Before anything starts, Zavmo asks when you’re sharpest and how long you can realistically sit down for, then builds the sessions around those answers. A bad fortnight changes your pace. It doesn’t put you behind.

And you only pay once you start learning. Searching and planning are free, and you can cancel any time — so the cost of finding out is an afternoon, not a year.

What it costs

Less than one coaching session. Every month.

A single career-coaching hour costs more than a month of this, and it ends when the hour does. Zavmo doesn't. It's £70 a month, about £2.30 a day, for a companion that knows an Investment Strategist, works on the job you actually do, and keeps going at your pace rather than a timetable's.

Searching and planning stay free. You only pay when you start learning.
Your credits are yours. Regulated, and they don't vanish when a subscription ends.
Cancel any time and billing stops. No notice period, no minimum term.

Your path, personalised

You have the map. Walking it is the part we do together.

This route runs to 12 national skill standards. That is a real journey.

Zavmo shapes a learning experience as unique as you are. It fits how you learn, your pace and the work you already do. Every step stays benchmarked to recognised national standards. That’s the plan for becoming an Investment Strategist: personal to you, and it still counts. The first steps are free.

Independent research finds well-designed intelligent tutoring performs nearly as well as one-to-one human tutoring: VanLehn (2011), Educational Psychologist.

A private tutor in the UK averages £35–40 an hour . Zavmo is £70/month.

A Zavmo curriculum screen: a three-month plan built for a customer support lead, five Ofqual-regulated units and a hundred and ninety-six credits. — A real plan on learn.zavmo.ai: Ofqual-regulated units, credits, and a three-month run at your own pace.

Start free No commitment. See your first steps free.

15Where to go from here

Other roles at Level 3

Same depth of qualification, different job. Useful if the work appeals but this particular role does not.

Other roles in Finance roles

Stay in the field you know and move sideways rather than up.

If you leave this industry

The analytical and strategic skills you'll develop here are highly transferable. You could move into portfolio management, risk management, product development, or even move to the 'sell-side' (investment banking research) or a hedge fund. Your ability to analyse markets and communicate insights is valuable across the financial sector.

Not sure this is the right direction?

Work out what you actually want from work first, then come back and see which roles fit it. Takes about ten minutes.

You're not behind. You're right on time. The shift is only just beginning. Your role won't look the same in two years. Be the one who leads the change, not the one it happens to. Build my plan, free Here's the first ten minutes: a 2-minute confidence check → your personalised roadmap → meet the tutors matched to you. No card, cancel any time. No card. Build your plan, see your roadmap and meet the twelve tutors matched to you. All free. When you're ready to start learning, it's £70 a month, billed monthly. Cancel any time and billing stops.

Investment Strategist

What's rising in its place

Prompt Engineering & LLM Integration

Behavioural Finance Application

Skills this role draws on

Technical

How you actually get there, here

Investment Strategy Analyst (L1)

Junior Quantitative Analyst

Research Associate (Sell-Side/Buy-Side)

The credential is what you can do today. These are what keep you valuable.

Roles this leads to

No two people are taught the same way. This is one-to-one, not one-to-many.

A conversation, not a course

No two people run this the same way

This isn't a certificate you file away. It's a passport to the life you're designing.

Your career path is ultimately yours to define. We'll provide the opportunities, the learning, and the support, but your ambition and drive will determine how far you go. The investment world is tough, but for those who love the challenge, it's incredibly rewarding.

Everything else the record holds

The career path, and where it branches

Senior Investment Strategist (L3)

Where AI is starting to help

Automated Macro Data Synthesis

AI-Powered Thematic Analysis

Rapid Historical Analogue Research

First-Draft Commentary Generation

Common questions

You’ve started things before

Less than one coaching session. Every month.

You have the map. Walking it is the part we do together.