We are working with an established quantitative investment firm looking to hire an experienced Systematic Portfolio Manager to build and manage a dedicated risk book within its digital-assets business.

This is a genuine risk-taking role . You will have ownership of your strategies from research and development through to live deployment, capital allocation and ongoing P&L management.

The platform is particularly interested in systematic strategies operating at high- to mid-frequency horizons , including approaches across market making, relative value, arbitrage, predictive signals and other market-neutral or directional opportunities within digital assets.

This is not a research-only position. We are looking for someone who has demonstrated that they can turn quantitative ideas into profitable live trading strategies .

The role

You will:

1. Own and manage a dedicated systematic trading book with direct responsibility for P&L and risk
2. Research, develop and deploy new quantitative strategies across digital-asset markets
3. Take strategies through the complete lifecycle: idea generation → research → validation → production → live optimisation
4. Identify structural and statistical inefficiencies across highly fragmented electronic markets
5. Manage position sizing, exposure, drawdowns and capital allocation
6. Continuously evaluate live strategy behaviour and adapt models as market conditions change
7. Analyse large-scale tick, order-book and time-series datasets
8. Improve signals, execution and portfolio construction to maximise risk-adjusted returns
9. Work closely with quantitative developers and trading infrastructure specialists on execution quality, latency and implementation
10. Contribute new research ideas across the wider systematic investment team

What we are looking for

We are particularly interested in candidates with:

1. 5+ years of experience in systematic trading, quantitative research, portfolio management or a closely related role
2. A demonstrable track record of developing profitable systematic strategies
3. Ideally, direct ownership of a live strategy or trading book with measurable P&L
4. Strong quantitative foundations across statistics, modelling and data analysis
5. Hands-on research and programming ability, particularly Python and SQL
6. Experience analysing large-scale high- or mid-frequency market data
7. Strong understanding of portfolio construction, position sizing, risk budgets and drawdown management
8. Experience taking research into a live production trading environment
9. Confidence working independently and making decisions in a performance-driven environment

An advanced degree in Mathematics, Statistics, Physics, Engineering, Computer Science, Data Science or another highly quantitative discipline is strongly preferred.

Particularly relevant backgrounds

We would be especially interested in people coming from:

1. Systematic crypto trading
2. HFT or electronic market making
3. Statistical arbitrage
4. Cross-venue or cross-exchange arbitrage
5. Quantitative proprietary trading
6. Systematic futures or other highly electronic markets
7. Market microstructure or execution-driven strategies

Existing crypto experience is highly valuable but not essential. Candidates with a strong live systematic track record in traditional markets who can demonstrate that their strategies and research approach transfer naturally to digital assets will also be considered.

What will make you stand out

This role is aimed at genuine strategy owners rather than candidates whose experience has primarily been supporting somebody else's book.

The strongest candidates will be able to discuss:

1. Strategies they personally originated or materially developed
2. Live P&L and risk-adjusted performance
3. Holding periods and trading frequency
4. Capacity and scalability
5. The underlying source of alpha
6. Their individual contribution versus that of the wider team
7. How their strategies performed through different market regimes

You should be comfortable being judged on the quality of your research and on the performance of the strategies that research produces .

The opportunity

You will join a highly technical, entrepreneurial trading environment with sophisticated infrastructure, extensive historical market data and connectivity across multiple digital-asset venues.

The structure offers substantial autonomy, access to capital and the opportunity to build and scale strategies within one of the most rapidly developing areas of systematic trading.

London-based, full-time role.