Smartkarma is seeking an Independent Quantitative Analyst to join their London team full time onsite. The role targets former or current systematic traders and quant researchers who can design and maintain differentiated proprietary datasets and models across equities, equity derivatives and multi-asset strategies, with rigorous signal research, feature engineering, backtesting across horizons and realistic frictions. You will deliver actionable trade ideas, factor and alpha work, event-driven playbooks and cross-asset regime analysis, and provide high touch service to select institutional clients. Requirements include 8+ years of institutional experience, a verifiable quantitative track record and defensible, clearly written insights. To apply, use Smartkarma’s website and tailor your application to showcase datasets, tooling, and published insights; emphasize client-facing experience and communication skills.
Smartkarma connects independent investment research analysts to institutional asset managers, such as sovereign wealth funds, hedge funds, pension funds, boutiques and family offices. Smartkarma’s cloud-based platform leverages the latest in technology to provide a network for independent research analysts to curate and monetize research in an innovative and new way.
Only applications on Smartkarma's website (https://www.smartkarma.com/home/insight-providers/) will be accepted.
In general, looking for former/current systematic traders and quant researchers / analysts:
Experts in systematic strategies across equities, equity derivatives and multi-asset (index and single-name listed and OTC options, futures, etc);
Strong research hygiene: signal research, feature engineering, robust backtesting across horizons, realistic frictions and clear validation;
Ability to combine market intuition with statistical learning to create and maintain differentiated proprietary datasets and models (unique data collection, cleaning, normalisation, mapping, signal construction and production pipelines) that are hard to replicate and deliver repeatable edge;
Strong writing and communication skills: able to articulate and defend research views clearly in published insights and in discussions with institutional clients;
Example of deliverables:
Actionable trade and investment ideas based on statistically validated signals and market intuition;
Factor, risk premia and alpha research;
Event-driven and catalyst frameworks (earnings, guidance, corporate actions, index changes, macro prints) with empirical edge and playbooks;
Cross-asset linkages and regime work (risk-on/off, inflation, rates sensitivity, liquidity, positioning and flows);
You will also be expected to offer a high-touch service for select institutional clients
Demonstrated quantitative track record and evidence of proprietary work (datasets, models, tooling, strategy research);
Ability to write differentiated insights for professional investors (structured, concise, defensible).
All your information will be kept confidential according to EEO guidelines.