Data Scientist / Portfolio Analytics - Technology Services (AI & Software) - Remote (Mexico)

Join to apply for the Data Scientist / Portfolio Analytics - Technology Services (AI & Software) - Remote (Mexico) role at Truelogic Software

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Join to apply for the Data Scientist / Portfolio Analytics - Technology Services (AI & Software) - Remote (Mexico) role at Truelogic Software

About Truelogic

At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we've been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals.

Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects. Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that make a difference.

By applying for this position, you're taking the first step in joining a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future.

Our Client

Technology consulting firm specializing in advanced data and digital product solutions for financial services and investment management companies. With a focus on scalable systems, cloud architecture, and analytics-driven platforms, Sprytelab partners with top-tier firms to deliver high-impact solutions at speed.

Job Summary

Results-driven Data Scientist with expertise in portfolio analytics, risk modeling, and performance attribution, specializing in alternative investments and digital assets. Skilled in Python, AWS S3, Snowflake, and Power BI, with proven ability to design scalable data models and pipelines. Adept at turning complex financial data into actionable insights and supporting portfolio management decisions through advanced analytics. Collaborative team player experienced in agile environments, ensuring efficiency and value delivery across cross‐functional teams.

Responsibilities

• Build and validate portfolio analytics models related to risk, attribution, and performance
• Work with stakeholders to define data requirements around alternative and digital investment products
• Leverage Python and data science tools to process and analyze large-scale financial data sets
• Develop data flows using AWS (S3) and Snowflake
• Build data visualizations and dashboards using Power BI
• Collaborate with cross‐functional team members including data engineers, product owners, and business analysts
• Follow agile best practices with active participation in sprint planning, demos, and reviews

Qualifications and Job Requirements

What we offer

Why You'll Like Working Here

Apply now!

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