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This role is responsible for designing, building, and continuously improving quantitative models, statistical methods, and analytical frameworks used to identify, assess, and prioritize insider risk across employees, contractors, vendors, and non human identities. The role partners closely with Cyber, HR, Legal, Compliance, Anti Fraud, and Enterprise Information Protection to transform complex enterprise data into defensible risk signals, transparent scoring models, and executive level metrics that support investigations, governance, and regulatory scrutiny.
The busiest rail connection between New York, New Jersey, and the Northeast Corridor, the Hudson Tunnel Project will improve capacity, reliability, and resiliency of commuter and intercity rail transit serving 800,000 daily passengers from Washington, D.C. to New York and New England. The Project: Mace, as part of MPA delivery partner joint venture of Mace-Parsons-Arcadis, have been selected as the Gateway Development Commissions partners of choice to support the GDC across the Gateway Program in New York, inclusive of the Hudson Tunnel Project.
An ideal candidate will have professional experience building machine learning models that are used to predict business outcomes — such as customer propensity to spend, churn prediction, price forecasting, or other relevant areas — and, just as importantly, experience operationalizing those models so they run reliably in production without becoming a maintenance burden over time. Strongly Desired Attributes:
This team provides quantitative modeling solutions for private markets across a wide variety of problems, including nowcasting private asset and fund values, forecasting alpha in private asset deals, and optimizing strategic asset allocation with illiquid assets. We are seeking an experienced quantitative researcher for a Vice President role on the Aladdin Private Markets SWAT Team, a small group dedicated to solving novel modeling challenges in private markets.
Performs related discipline tasks in support of project engineer, such as reviewing and coordinating specifications, compiling and computing engineering data, initiating basic design tasks, verifying intelligent model integrity, plotting drawings, assembling drawing packages, preparing transmittals, preparing overnight packages, file management and/or filing prints, distributing drawings, making simple calculations. + Under light supervision, leads teams to prepare basic to highly complex construction drawings using intelligent modeling and/or CADD which may include multiple views, detail drawings, and assembly drawings indicating components of equipment, facilities, or systems through proper translation of level of design (LOD) definitions as applicable.
Technologies we use: Ruby on Rails, Redshift, Athena, Postgres, SQL, Python, Apache Airflow, Appflow, S3, SNS, SQS, Kafka, Docker, Kubernetes, AWS infrastructure, Lambda, Serverless, Tableau, Bugsnag, Datadog, GitLabCI. Below is a summary of salary ranges for this role in the following geographies: California, New York State and Washington State Base Compensation Ranges: $179,400 - $224,300, Colorado Base Compensation Ranges: $171,600 - $214,500.
Our focus is on providing engineering services that transform diverse data into well-governed, high-value data assets built on advanced data platforms on the cloud underpinned with security and high quality like Snowflake, AWS, Databricks, Azure based systems. The U.S. Food and Drug Administration has authorized versions of PMI's IQOS electronically heated tobacco devices and Swedish Match's General snus as Modified Risk Tobacco Products and renewal applications for these products are presently pending before the FDA.
Knowledge with the following but not limited to: • Database systems such as MySQL, MongoDB, Big Query and Neo4j • Source code management system like GitHub, Mercurial, and SVN for collaborative development • Analytic notebooks such as Jupiter and Zeppelin • expertise in creating interactive data visualizations with open-source web technologies such as Angular, Vue, React, or D3.js, as well as frameworks such as Shiny and Plotly Dash • Ability to develop data-intensive, containerized full-stack web applications using technologies such as Node.js, Metrics • Roadmap design and execution • Earn seat at the table for product stream leader forums • Competency and curriculum in place • Community expansion and embedment in functions and regions • Career path in place and progress in Engagement Score • On time delivery, TCO and quality Key Interactions / Stakeholders • MDS Platform teams (Emerging Tech, CTO etc) • MDS Domain/Function Lead and D&A Product Stream Lead as the ultimate workplan stakeholder • D&A horizontals team that makes up the data product squad (e.g.
Extensive hands-on experience implementing Data and AI platform using Azure Data Services: Serverless Architecture, Azure Storage, Azure SQL DB/DW, Data Factory, Azure Stream Analytics, Azure Analysis Service, HDInsight, Databricks Azure Data Catalog, Cosmo Db, ML Studio, AI/ML, Azure Functions, ARM Templates, Azure DevOps, CI/CD etc. Our Cloud First multi-service group of more than 70,000 cloud professionals delivers a full stack of integrated cloud capabilities like data, edge, integrated infrastructure and applications, deep ecosystem skills, culture of change along with pre-configured industry solutions to shape, move, build and operate our clients' businesses in the cloud.
Our team is comprised of bright, focused professionals who collaborate at all levels to manage originations and a private debt portfolio across investment grade, high yield and mezzanine investments.
li> In-depth knowledge of the Property & Casualty Insurance domain, We are seeking a Business Data Analyst with a background in large-scale data applications, data analysis, and transformation to support enterprise-level initiatives in the Property and Casualty (P&C) Insurance domain.
p>We are seeking a Business Data Analyst with a strong background in large-scale data applications, data analysis, and transformation to support enterprise-level initiatives in the Property & Casualty (P&C) Insurance domain.
Our teams of experienced, multi-cultural professionals help guide businesses and community members on both sides of the Pacific looking to explore new markets and create new opportunities, and our sustained growth and expertise in industries like real estate, entertainment and media, private equity and venture capital, and high-tech help build sustainable businesses and expand our associates' potential for career advancement. This role is designed for a hands-on enterprise data architect with deep expertise in regulated financial services environments, modern cloud data platforms, enterprise data lifecycle management, and scalable AI/data-driven architectures.
In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. As a senior member of the team, the Data Architect provides technical guidance and mentorship to junior team members and works closely with cross-functional teams to ensure architectural alignment with business goals.
Job Level: Management Additional Information The base compensation range for this role is: $133,000.00-$178,000.00 Base salary offered is determined through an analytical approach utilizing a combination of factors including, but not limited to, relevant skills & experience, job location, and internal equity. Regular employees are eligible to receive both short term and long-term incentives, including cash bonus and equity incentive opportunities, designed to reward recent achievements and recognize your future potential based on individual, business unit and company performance.
Our team is comprised of bright, focused professionals who collaborate at all levels to manage originations and a private debt portfolio across investment grade, high yield and mezzanine investments.
b>We’ve been recognized by multiple organizations like Bloomberg’s Gender-Equality Index, HousingWire’s Tech 100, and The Forum of Executive Women’s Champion of Board Diversity. Learn more about your rights under immigration laws [Link] (en español [Link]).
You will be a translator of complexity, leveraging LLMs and RAG architectures to synthesize vast amounts of internal data, turning the "noise" of global supply chain volatility, spend patterns, asset utilization etc. Drive Actionable Insights & Influencing: Lead end-to-end analytical projects, moving beyond "what happened" to prescribing solutions and proving the causal ROI of specific business interventions.
In parallel, you build the Python services, application programming interfaces (APIs), and tooling that evaluate, translate, and explain those policies - across an RDF triple-store backend and large language model (LLM)-assisted authoring surfaces. Practical experience with RDF triple-stores (for example, Oxigraph, GraphDB, or Neptune), including SPARQL Protocol and RDF Query Language (SPARQL), graph management, and SHACL validation.
They will assist in the ingestion of climate risk and ancillary data from First Street modelers and data partners, develop data pipelines, query geospatial databases, calculate applicable statistics, implement Quality Assurance and Quality Control processes, utilize geographical imagery, and ensure that databases and pipelines coordinate and synchronize with APIs, and web services. Our data: We've assembled leading climate scientists and economists to develop transparent, peer-reviewed methodologies to calculate the past, present, and future climate risk for properties and asset classes spanning real estate, infrastructure, and companies.
They will assist in the ingestion of climate risk and ancillary data from First Street modelers and data partners, develop data pipelines, query geospatial databases, calculate applicable statistics, implement Quality Assurance and Quality Control processes, utilize geographical imagery, and ensure that databases and pipelines coordinate and synchronize with APIs, and web services. style="min-height:1.5em">Read more about our culture here and see what Climate Risk Financial Modeling is all about here.
Note : While the profile is similar to both , for the modeler I would be focusing on data model creation while the data analyst will be less on modeling. The role demands both depth (hands-on expertise) and breadth (end-to-end understanding) understanding of Data and Financial services product.
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