Independent Quantitative Analyst at Smartkarma

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

16 Jul, 26

Salary

0.0

Posted On

17 Apr, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Quantitative Research, Systematic Trading, Signal Research, Feature Engineering, Backtesting, Statistical Learning, Data Modeling, Data Normalization, Risk Premia, Alpha Research, Event-driven Frameworks, Cross-asset Linkages, Financial Modeling, Technical Writing, Institutional Client Service

Industry

technology;Information and Media

Description

Company 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. Job Description 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 Qualifications 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). Additional Information All your information will be kept confidential according to EEO guidelines.

Responsibilities

Develop and maintain differentiated proprietary datasets and models using statistical learning and market intuition. Provide high-touch service to institutional clients while publishing actionable trade ideas and research insights.