
Data Scientist
4 semanas atrás
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 ClientTechnology 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 SummaryResults-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
- Performance Attribution.
- Portfolio Analytics.
- Portfolio Risk.
- Exposure to Alternative Investment Products and Digital Assets.
- Strong Python skills (data processing, analytics, or ML).
- Experience with AWS (S3) for data storage and integration.
- Hands-on with Snowflake (data warehousing, querying).
- Proficiency in Power BI or similar data visualization tools.
- 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
- Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.
- Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.
- Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.
- Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.
- A Culture That Values You: We prioritize well-being and work-life balance, offering engagement activities and fostering dynamic teams to ensure you thrive both personally and professionally.
- Diverse, Global Network: Connect with over 600 professionals in 25+ countries, expand your network, and collaborate with a multicultural team from Latin America.
- Team Up with Skilled Professionals: Join forces with senior talent. All of our team members are seasoned experts, ensuring you\'re working with the best in your field.
Apply now
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