Independent Quantitative Analyst

Smartkarma Innovations Pte Ltd; United States; Remote; USD 120,000 - 190,000; Full time

Job summary

Smartkarma Innovations Pte Ltd is seeking experienced professionals to join our institutional research team. We focus on systematic trading, quant research and producing differentiated insights for sophisticated clients.

You will develop and backtest signals, publish actionable ideas, and engage with asset managers on cross-asset strategies. 8+ years track record and ability to defend research publicly are essential.

Qualifications

• 8+ years of extensive trading, research or investment experience for institutional clients.
• Demonstrated quantitative track record and evidence of proprietary work (datasets, models, tooling).
• Ability to write differentiated insights for professional investors (structured, concise, defensible).

Responsibilities

• Develop and backtest signals across equities, derivatives and multi-asset frameworks.
• Publish actionable trade ideas and research with empirical edge and validation.
• Engage with institutional clients, explaining concepts clearly and defending views.
• Create cross-asset linkages and regime analyses to inform investment decisions.

Skills

Systematic trading

Quant research

Data analysis

Strong writing

Tools

Backtesting

Python

R

Job description

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.

• Independent analysts covering more than 4,000 companies now contribute to Smartkarma’s cloud-based platform.
• Insights are published daily with active minute-by-minute discussions, where themes and ideas are debated, discussed and questioned among a community of experts, in real time.
• Over 200 leading institutional asset managers have subscribed, including sovereign wealth funds, global asset managers, hedge funds, boutiques and family offices, worldwide.
• Our top 10 clients alone have over $14 trillion under management. Our investors include Sequoia Capital, Singapore Exchange (SGX), Wavemaker Partners, Jungle Ventures and Spring Seed.

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

• Extensive research, trading or investment experience for institutional clients (8 yrs+);

• 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.