Sep 9, 2021 · 1h 1m · capital-allocators
Leda Braga – Systematica Investments (Manager Meetings, EP.10)
gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions
Host Ted Seides presents an in-depth conversation between institutional allocator Mario Terrien of CDPQ and Systematica Investments CEO Leda Braga on the mechanics of quantitative trend following and risk management. Together, they explore how engineering discipline, data science infrastructure, collaborative firm culture, and proactive governance drive long-term institutional investment success.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Ted holds 12.4% of the talking time here. How this is scored →
speaking balance: gold is Ted, purple is the guest (3 minute bins)
Leda directly challenges the popular multi-manager pod platform structure, arguing that siloing IP prevents the scalable consensus necessary in a low-fee environment.
Hardest push from Ted ▶ 8:30 Ted queries quant technical vetting hurdlesTed presses Mario on how allocators can genuinely evaluate quant teams whose technical mathematical capabilities far exceed those of the allocator.
Biggest teaching moment ▶ 22:40 Masterclass on trend following mechanicsLeda clearly breaks down the math and portfolio construction of trend following, explaining why it functions as a paid-for tail risk insurance policy for equity drawdowns.
Ted holds their own ▶ 9:30 Mario details CDPQ quant manager evaluation playbookMario demonstrates deep allocator expertise by detailing CDPQ's rigorous technical playbook for testing out-of-sample data hygiene, model validation, and governance.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | Ted as informed peer | Guest teaching | Guest disagreement | Ted pushing back | Why |
|---|---|---|---|---|---|---|
| Mario Terrien on Selecting Systematica and Portfolio Sizing | 7 | 2 | 1 | 2 | Ted interviews Mario Terrien regarding his diligence process and portfolio sizing methodology for CTAs. Both display strong institutional knowledge regarding gamma profiles, overlay programs, and validating quant processes. | |
| Leda Braga's Academic Roots and Entry into Finance | 4 | 4 | 1 | 0 | Mario asks standard biographical questions about Leda's path into engineering and finance. Leda explains how the engineering problem-solving mindset and the 1990s London derivatives boom drew her into quant finance. | |
| Female Representation and Diversity in Quantitative Finance | 5 | 6 | 2 | 0 | Leda reframes the discussion around women in quant finance, explaining the structural pipeline issues including math bias, market time inflexibility, and risk framing. She rejects quotas in favor of upstream initiatives like Math for Girls. | |
| Founding Systematica Investments and Leadership Mindset | 4 | 4 | 1 | 0 | Leda explains the spinoff of Systematica from BlueCrest and outlines her leadership philosophy of tackling difficult conversations first. Mario agrees enthusiastically with her operational routine. | |
| Core Principles and Mechanics of Systematic Trend Following | 6 | 7 | 1 | 1 | Leda provides a comprehensive pedagogical explanation of trend following, signal extraction, negative skewness in equities, and positive expected return insurance. Mario validates this by recalling the 2008 commodity reversals. | |
| Macro Market Shifts, Randomness, and Algorithmic Execution | 4 | 6 | 2 | 0 | Leda dismisses vague narratives about market regime shifts, noting that market randomness remains the fundamental challenge. She highlights how PCA reveals modern risk-on/risk-off dynamics and algorithmic execution capabilities. | |
| Sponsor Break: Ridgeline Investment Management Tech | 5 | 6 | 1 | 0 | Segment includes an ad read followed by Leda articulating core investment principles, noting that correlations are far more persistent than returns, meaning portfolio construction must anchor on diversification. | |
| Embracing Data Science, Alternative Datasets, and Alpha Decay | 5 | 6 | 2 | 0 | Leda explains how data science is the core business rather than an add-on, rejecting emotional decision-making. She details the challenge of alpha decay in alternative datasets and the requirement to ingest dozens of new feeds yearly. | |
| Expanding into Alternative Markets and Investing in China | 4 | 6 | 1 | 0 | Leda describes alternative markets as Systematica's core competency and identifies China as the ultimate alternative market due to linguistic, regulatory, and operational complexity. | |
| Institutional Capital as a Catalyst for ESG Standards | 5 | 5 | 1 | 0 | Leda passionately argues that the institutional asset management industry has enormous leverage to enforce ESG and sustainability standards on corporate boards worldwide. Mario notes CDPQ's shared alignment on the topic. | |
| Leadership Philosophy, Cybersecurity Threats, and Succession Planning | 4 | 5 | 1 | 0 | Leda describes her role as the long-term vision keeper who absorbs the pain of saying no, and identifies cybersecurity and succession planning as her primary concerns. | |
| Collaborative Firm Culture Versus Pod Platforms and Entrepreneurship | 5 | 7 | 3 | 0 | Leda contrasts the multi-manager pod platform model with Systematica's collaborative IP model. She argues that pod platforms create siloes, whereas fee compression and scalability require centralized, collaborative research. | |
| Aligning Allocators and Managers Through SBAI | 4 | 5 | 1 | 0 | Mario and Leda discuss their work with the SBAI aligning allocator and manager interests, followed by rapid-fire closing questions where Leda identifies overfitting and unwinding in drawdowns as major sins. |