Work with large financial and operational datasets to identify trends, develop insights, and improve visibility into business performance
Develop dashboards, analytical tools, and reporting solutions that make complex financial and operational data easier to understand and act upon
Explore and implement practical applications of AI and automation within Finance to accelerate analysis, automate repetitive processes, and improve forecasting and reporting
Use modern analytical tools to extract, organize, integrate, analyze, and visualize data from multiple sources
Improve data quality, consistency, and accessibility across Finance reporting and planning processes
Requirements
Bachelor’s degree in Finance, Economics, Accounting, Mathematics, Statistics, Data Science, Engineering, or another analytically rigorous field
IT Platform Administrator responsible for ensuring availability and operation of enterprise software platforms, monitoring, troubleshooting, and maintaining application performance and security.
Compensation
Level I - 60,410 - 84,000
Level II - 60,410 - 106,929
Level III - 79,068 - 142,322
Level IV - 87,766 - 157,978
Responsibilities
Installs, configures, troubleshoots, patches, and maintains enterprise software platforms
Conducts testing, performance optimization and maintenance of applications
Monitors system uptime and performance, maintains backups
Manages user and system accounts, network rights and access
Collaborates with cross-functional teams to triage and resolve incidents
Requirements
Associate's degree in Computer Science, Information Technology, Management Information Systems, Business, Analytics or relevant field
Three (3) years of related work experience in lieu of degree
Nice to have: Intermediate knowledge of relevant operating systems, scripting languages, database management systems
Nice to have: Intermediate knowledge of content store application administration
Nice to have: Intermediate knowledge of content integration application administration
Lead Market Risk Officer responsible for governance, oversight, and risk analysis across rates, treasury, and structured financing trading desks.
Compensation
$167,000.00 - $260,000.00
Responsibilities
Provide senior market risk coverage and independent challenge across trading desks
Utilize VaR, stress testing, and risk factor sensitivities to monitor and report exposures
Partner with front office and stakeholders to maintain risk mandate
Develop and enhance risk reporting
Engage with capital markets partners to support new products and initiatives
Requirements
Bachelor's degree or higher in Finance, Financial Engineering, Quantitative Finance, Mathematics, Physics, Engineering, or another quantitative discipline
Elaborar y liderar el plan de trabajo técnico para implementar, desplegar, capacitar y estabilizar proyectos y mejoras en GCP, con reporting en Power BI.
Diseñar arquitecturas de datos escalables y seguras en BigQuery, Cloud Storage, Dataflow, Dataproc, Composer y Pub/Sub.
Definir estándares de modelamiento, calidad, observabilidad, CI/CD e IaC; gestionar documentación, pruebas y control de versiones.
Interactuar con usuarios, científicos de datos e ingenieros para priorizar requerimientos, desbloquear dependencias y mentorizar al equipo.
Resolver issues productivos en GCP y Power BI, optimizando performance y costo, coordinando escalamiento con proveedores cuando aplique.
Requirements
Profesional universitario en Ingeniería de Sistemas, Ingeniería de Software o carreras afines
The Analytics Analyst applies descriptive and prescriptive analytics to generate actionable insights from large-scale healthcare transaction data.
Compensation
At Surescripts, base pay is one part of our Total Rewards Package (which may also include bonus, benefits etc.) and is determined within a range. The base pay range for this position is $95,300 - $116,500 per year.
Responsibilities
Execute analytics workstreams under guidance, including data extraction, cleaning, feature creation, exploratory analysis, and results validation.
Build and maintain recurring reporting and dashboards that communicate key trends, performance signals, and product/customer insights.
Translate business questions into analytic tasks (metrics definitions, cohorts, time windows, segmentation) with support from senior teammates.
Attend and participate in product discovery for new products, supporting senior teammates and stakeholders as requirements take shape.
Explore available data sets and document their contents; build basic charts and prototypes so stakeholders can confirm what they need before development begins.
Requirements
Bachelor’s degree in data science, Statistics, Computer Science, Economics, Public Health, Epidemiology, Health Economics, or related field
The role focuses on Foreign Exchange & Exposure Management, cash management, deal funding, and operational reporting/process improvement within an investment management environment.
Responsibilities
Stage FX orders to raise cash and hedge currency risk, including FX spot, forwards, and options.
Monitor open FX positions, mark-to-market (MTM) valuations, and P&L impact.
Track exposure versus hedge coverage and identify over-hedged or under-hedged positions.
Prepare daily, weekly, and monthly FX exposure and hedge reports.
Identify, measure, and mitigate process risk, particularly related to FX risk.
Join a global engineering organization building AI-powered digital experiences used by millions of consumers worldwide, rebuilding the real-time event and consumer backbone.
Responsibilities
Design and build highly scalable cloud-native services, APIs, event streams, and data pipelines processing customer data and business events at global scale
Design and implement asynchronous messaging with Kafka and cloud-native equivalents (e.g., Azure Event Hub, Google Pub/Sub)
Design and maintain consumer analytics datasets, data models and transformation workflows via modern data platforms (e.g., dbt, Spark, Databricks) to support reporting, personalization and AI use cases
Collaborate with senior engineers and architects to design solutions across APIs, event streams, and distributed systems
Translate ambiguous business problems (working with product, data, and business teams) into scalable technical solutions
Develop and deliver scalable transformation frameworks across Hadoop platforms by building robust data pipelines, ingestion frameworks, and automation capabilities.
Responsibilities
Design, develop, and maintain scalable data pipelines within the Enterprise Data Lake platform using Cloudera CDP, Hadoop, Spark, Hive, Java, Python, and SQL.
Develop high-performance batch and near real-time data ingestion frameworks for onboarding enterprise source systems into the Data Lake.
Develop complex transformation logic using Spark, HiveQL, SQL, and Java-based processing frameworks.
Design and implement data ingestion patterns supporting structured, semi-structured, and unstructured datasets.
Build and maintain batch and near real-time data integration solutions.
