Data mining h1.location_city

Job Title Data Analyst

Locations: Jacksonville, FL, New York, NY, Chicago, IL, Boston, MA | Hybrid

About the Role

SS&C Advent delivers financial technology solutions and services to financial services clients in the asset management, wealth management, and alternative investment space around the globe.

This role owns end‑to‑end data science projects, applying advanced analytics, machine learning, and statistical modeling to solve complex business problems. The individual translates data into actionable insights, contributes to the analytics roadmap, and helps build scalable data science infrastructure while collaborating closely with stakeholders

Why Join SS&C

SS&C combines proprietary technology with deep industry expertise to support complex financial and health care operations. Our teams design, implement, and operate solutions that help clients manage data, automate processes, and scale their businesses with confidence.

You will work with industry experts, modern platforms, and evolving technologies, gaining exposure to real-world operational challenges and large-scale enterprise environments.

How You Will Make an Impact

• Manage and execute entire project from start to finish (problem solving, data gathering, data manipulation, predictive modeling, and key stakeholder engagement)

• Demonstrate technical knowledge on feature engineering, effective exploratory data analysis, and building statistical models

• Implement code (Python, R, Scala, SQL, etc.) for analyzing data and building machine learning and econometric models to solve specific business problems

• Translate analytic insights into actionable recommendations

• Contribute to the scientific roadmap

• Research, learn, and adapt new modeling techniques and procedures to solve complex business problems

• Build a common data science infrastructure that will house statistical models and enable scientists to run experiments on a large variety of project

• Produce and maintain technical documents

Required Experience

• Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field; or data science practitioner for 3+ years

• Solid experience in descriptive analytics (reporting, querying, scorecards, dashboard building, visualization, presentations, etc.)

• Experience in data mining and data engineering techniques (gathering, preparing, cleansing, and transforming data) to find patterns and build models

• 2+ years of experience in predictive analytics (statistical data modeling, predicting what customers would do, how customers would respond to marketing campaigns, how client experience would improve, etc.)

• Experience in supervised methods (classification, regression, causal modeling) and unsupervised methods (clustering, co-occurrence grouping, profiling)

• Experience programming in R, Scala, Python (Django, Flask, Pyramid, etc.), or similar languages and maintaining code repositories

• Experience formulating and testing hypotheses using tools like Jupyter notebooks, R, Julio, etc.

• Create prototype machine learning or statistical models using open-source packages, such as SciKit Learn, PyTorch, Tensorflow, Stan, or equivalent

What Sets You Apart (preferred qualifications)

• Experience in building prescriptive analytics (optimization, randomized test, designing experiments, simulations, finding optimum price, etc.)

• Experience in building business intelligence automation using platforms such as Snowflake, Salesforce, QuickSight, Tableau, or similar

• Working knowledge of optimizers (i.e. Gurobi) or solvers (GLPK, LP_Solve)

• Previous experience integrating multiple applications and data APIs

• Knowledge of software development life cycle (coding standards, code reviews, source control, build processes, testing, and operations)

• Familiarity with front-end technologies such as HTML5 and JavaScript

• Leadership skills and ability to work well with others

Join SS&C, where innovation meets global opportunities. to apply.

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