Expertise Talent Lab Process Why MKS Candidates Connect →
Boutique Search · Quantitative Finance · Frontier AI

We build access to talent markets
that cannot be accessed conventionally.

MKS Partners is a specialist search firm operating at the intersection of frontier AI and quantitative finance — identifying and securing the top percentile of talent globally for the firms that demand nothing less.

Search in these markets is not a sourcing problem. It is an access problem.
3:1 Interview to
Offer Ratio
94% Offer Acceptance
Rate
10–14 Days to First
Qualified Introduction
95%+ 12-Month
Retention Rate
Machine Learning Research FPGA Engineering Quantitative Research Low-Latency C++ Frontier AI Labs CUDA & GPU Optimisation Proprietary Trading RLHF & Alignment Research Systematic Strategies Technical Leadership Machine Learning Research FPGA Engineering Quantitative Research Low-Latency C++ Frontier AI Labs CUDA & GPU Optimisation Proprietary Trading RLHF & Alignment Research Systematic Strategies Technical Leadership

Three domains.
One standard.

We do not attempt to cover every market. Our mandate is deliberately narrow — we operate exclusively within environments where the technical bar is exceptionally high, the talent pool is constrained, and the impact of each hire is significant. This focus is the source of our edge.

01

Frontier AI & Machine Learning

We recruit for the organisations building the next generation of intelligence — from foundational model research to applied ML engineering at scale. These are roles where the talent pool is global, highly selective, and rarely on the open market.

LLM Research RL / RLHF Gen AI ML Engineering AI Safety
02

Quantitative Research & Trading

We identify researchers and traders operating at the highest level of mathematical and computational sophistication — individuals with demonstrable track records in live trading environments and a genuine edge in quantitative modelling.

Quant Research Systematic Trading Alpha Generation HFT
03

Performance Engineering

We place engineers operating at the hardware-software boundary — individuals for whom microseconds matter and who understand systems at a level most engineers do not reach. This is our most specialised vertical.

C++ / Python FPGA / ASIC CUDA / GPU Low-Latency Kernel Optimisation

Research-led by LLMs.
Decided by human judgement.

"Clarity before search. Insight before outreach."

In constrained talent markets, hiring outcomes are determined long before the first candidate conversation. Most searches fail not because of poor execution — but because of an incomplete understanding of the landscape. We built the Talent Lab to solve that problem.

Our proprietary infrastructure combines LLM-driven research with structured human analysis — surfacing patterns, relationships, and individuals that conventional methods cannot reach.

How intelligence is generated
🔍
Web Research
GitHub, Scholar,
arXiv, LinkedIn
LLM Analysis
Signal extraction
& scoring
Conviction Score
Weighted ranking
& fit assessment
Human Layer
Judgement,
nuance & outreach
"
Data informs the process — it does not replace judgement. Interpretation, calibration, and engagement remain human-led, ensuring nuance, discretion, and credibility with the individuals we approach.
01
Talent Network Mapping

We map talent networks, publication histories, code contributions, and firm-level movement patterns to identify individuals before they become visible to the market.

02
Signal Extraction & Scoring

LLM-assisted analysis processes open-source contributions, academic output, and institutional affiliation data into structured conviction scores — removing noise and surfacing what matters.

03
Market Calibration

Before any candidate is approached, clients receive an evidence-based picture of the market — whether the mandate is realistically scoped, where the highest-probability hires exist, and what trade-offs may be required.

04
Competitive Intelligence

We track how target firms are hiring, structuring, and retaining similar talent — providing visibility on compensation dynamics, movement patterns, and decision criteria at the top of the market.

05
Beyond Individual Hires

For clients building at scale, Talent Lab intelligence informs team build-out plans, location strategy, and long-term talent acquisition — not just the immediate mandate.

A research-led process, built for constrained markets.

We do not source reactively. Every search begins with a market-level mapping exercise before a single candidate is approached — ensuring clients have a precise, informed view of available talent before the process begins.

I
Market Mapping

We begin by mapping the full landscape of relevant talent — not just those actively seeking roles, but everyone performing at the required level globally. This gives clients a true picture of the market before the search begins.

II
Targeted Engagement

Using our proprietary Talent Lab infrastructure and relationship network, we engage selectively. We approach individuals with a compelling, well-calibrated case — not a generic outreach. The bar for initial contact is high.

III
Assessment & Calibration

We assess candidates rigorously before presenting them. Clients receive a focused shortlist with detailed intelligence — not volume. Every individual we present has been evaluated against the specific requirements of the mandate.

IV
Close & Onboarding

We remain embedded through offer stage and beyond — managing complexity, expectations, and competing interests to ensure the placement holds. Delivery is the only metric that matters.

Built for markets where
standard approaches fall short.

In quantitative finance and frontier AI, the best people are rarely looking. They are performing at a high level within selective organisations and are not responding to job boards or inbound approaches. Reaching them requires a different model entirely.

We map talent networks, publication histories, code contributions, and firm-level movement patterns to identify individuals before they become visible to the market.

"For clients, this means access to talent typically out of reach. For candidates, it means being introduced to opportunities where their work has real impact."
I
Limited Mandates, Full Focus

We work with a small number of clients at any given time. This is intentional. Each search receives the full attention of the firm — not a fraction of it assigned to a junior consultant.

II
Technology-Augmented Search

Our LLM-powered Talent Lab maps talent networks, extracts high-signal candidate data, and enables more precise identification of exceptional individuals — beyond what traditional methods allow.

III
Relationships, Not Databases

Our network spans academic institutions, top-tier research labs, and high-performance trading firms globally. The candidates we engage are known to us — not cold-sourced the day a mandate is opened.

IV
In-House & Search Experience

Our background spans both in-house talent functions and specialist search. We understand how high-performance teams are built, how hiring decisions are made, and how to calibrate requirements with precision.

V
Confidential by Default

We operate with the discretion appropriate to sensitive mandates in competitive markets. Client relationships and candidate conversations are handled with the confidentiality both parties expect.

Proof of execution.

3:1
Interview-to-Offer Ratio

A 3:1 conversion reflects the precision of our identification and assessment process. Clients receive a focused shortlist — not a volume pipeline designed to create the illusion of activity.

94%
Offer Acceptance Rate

One of the most important signals in retained search. It reflects candidate control, expectation management, and the credibility we carry with the individuals we approach.

95%+
12-Month Retention Rate

Placements that hold. The depth of our assessment and the care taken in calibrating both sides of the process is reflected in long-term outcomes — not just immediate delivery.

Case Study

Retained ML Search

Delivered a retained search mandate for a machine learning role within a constrained talent market, engaging candidates not available through conventional channels.

Case Study

Quant Research Pipeline

Built a structured pipeline of quantitative research talent for a systematic trading firm, mapping the available market and qualifying candidates to a specific technical and cultural bar.

Case Study

Hardware Engineering Mandate

Completed a multi-hire mandate across a specialised hardware engineering function, placing individuals operating at the hardware-software boundary within a tight delivery window.

If you are performing at the top of your field, we should speak.

We work with a small number of individuals operating at the top of their field. We do not approach candidates speculatively — when we reach out, it is because we have identified a specific, high-quality opportunity that we believe is worth your attention.

We represent your interests throughout the process — not just the client's. Offer management, expectation alignment, and close support are integral to what we do.
  • We work with organisations where your contribution will have measurable, real-world impact — not roles that look impressive on paper but deliver otherwise.
  • All conversations are handled with complete discretion. Your current employer will never be informed of any dialogue without your explicit consent.
  • We provide an honest, market-informed view of every opportunity — including its limitations — so you can make a well-considered decision.

Roles we place

Our active search work spans the following disciplines. If you operate at a senior or specialist level in any of these areas, we would welcome the conversation.

  • Quantitative Research & Systematic Trading
  • FPGA / ASIC Design & Verification
  • Low-Latency C++ / Kernel Optimisation
  • Machine Learning Research & Engineering
  • LLM / RLHF / Alignment Research
  • CUDA & GPU Performance Engineering
  • Technical Leadership & VP Engineering

Building at the highest level?

We work with a limited number of clients. If you are building a high-performance team in frontier AI or quantitative finance — or if you are a candidate operating at that level — we would welcome the conversation.