Quantitative researcher – Index R&D at MSCI

Monterrey, Nuevo León, Mexico -

Full Time

Start Date

Immediate

Expiry Date

29 May, 26

Salary

0.0

Posted On

28 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Back Testing, Research, Analysis, Investment Strategies, Factor Models, Sustainability, Climate Characteristics, Portfolio Construction, Factor Investing, Thematic Investing, Multi-Asset Class Strategies, Quantitative Skills, Time Series Analysis, Cross-Sectional Analysis, Python, NLP Models

Industry

Financial Services

Description

Your Team Responsibilities The successful candidate will be a member of the team based in Monterrey and be expected to lead new index research projects from initial concept through research, development, consultation and successful production implementation Your Key Responsibilities The candidate will carry out extensive back testing, research and analysis of investment strategies using historical market data, factor models, Sustainability & Climate characteristics and portfolio construction tools to build new indexes and generate investment insights. will work on index research projects that include Factor investing, thematic investing, Multi-asset class strategies, integration of Sustainability /Climate considerations in the investment process and conduct in-depth research and analysis to generate investment ideas for investment strategies. will work with other members of the global research teams to write research papers and blogs on investment strategies and the candidate will also work closely with clients in structured products segment to refine new index ideas aimed at solving the clients’ investment challenges. Your skills and experience that will help you excel Understanding of investment process in different asset classes (e.g. equity, digital assets, Futures etc.), investment styles such as factor investing, thematic investing etc. Expertise in quantitative investment approaches such as portfolio optimization, long/short, leveraged positions etc. is a strong plus. Highly developed hands-on analytical and quantitative skills (e.g., time series and cross-sectional analysis) and extensive recent practical experience with statistical and database packages (preferably Python). Hands-on experience with NLP models and other machine learning models will be an advantage Experience in institutional investment practices, buyside portfolio management concepts or sell side quantitative structured products Experience of writing technical and research reports Excellent interpersonal, communication and presentation skills About MSCI What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, AI Learning Center , LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our vision – to power better decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI strengthens global markets by connecting participants across the financial ecosystem with a common language. Our research-based data, analytics and indexes, supported by advanced technology, set standards for global investors and help our clients understand risks and opportunities so they can make better decisions and unlock innovation. We serve asset managers and owners, private-market sponsors and investors, hedge funds, wealth managers, banks, insurers and corporates. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

Responsibilities

The successful candidate will lead new index research projects from concept through development and production implementation, carrying out extensive back testing, research, and analysis of investment strategies using historical data and factor models. Responsibilities also include generating investment insights, writing research papers, and collaborating with clients to refine new index ideas.