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Quant Developer - SVP
Our direct client is a fast-growing fintech company specializing in alternative investments. They have offices in New York City and other major cities across the globe. We are searching for highly-experienced quant developers to join the team About the RoleThe Quant team’s goal is to deliver industry-leading analytical insights that help financial advisors and investors managing their multi-asset portfolios and utilizing alternative assets to meet their long-term investment objects. The team consists of Quantitative Researchers and Quantitative Developers to research, define, and implement models that will guide clients in portfolio construction, asset allocation, and risk management. The team members have diverse backgrounds such as math, physics, economics, quantitative finance, computer science, and other science and engineering fields, and collaborate closely with business-side colleagues, platform architects, software developers, and product managers to deliver analytics through the software platform for the firm’s clients.
The Quant Developers have a core mission of developing robust and scalable quantitative models to deliver portfolio risk analytics capabilities as part of the firm’s commercial technology platform for financial advisors and asset managers. The team members will implement statistical, machine learning, and quantitative financial models, applied to a combination of proprietary, public, and third-party data, to deliver analytics for multi-asset portfolios including alternative assets such as hedge fund, private equity, private credit, real estate, and digital assets.
Responsibilities
Qualifications
Benefits
The base salary range for this role is $200,000 to $250,000. The company offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
They believe the best ideas and innovation happen when they are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
Apply today for immediate consideration and interview!
About the Role
For our direct client, a leading fintech company in NYC, we seek a passionate Data Analyst to join the company's Data Platform team. The successful candidate will turn data into information, information into insight and insight into business decisions. Data is core and central part of the company. Data driven decisions are very critical, as a result, we are looking for a Data Analyst who will not only be able to use the data but also understand it and help make actionable decisions. Data Analyst quickly grasps complex and fluid business problems and is the bridge between the Data Engineers and Stakeholders. If you love using the latest technologies, working on creative software projects, and/or thinking about innovative new business plans in your spare time, read on.
The Data Warehouse Data / Business Analyst should have experience in creating business requirement and technical design documentation, specifically for the development of ETL applications. This role requires extensive SQL experience, such as writing complex queries across multiple tables, and data analysis and profiling skills for the creation of design documentation and discussions with data modelers. The ideal candidate should also have strong verbal and written communication skills to work with stakeholders to gather and formulate business requirements, and then translate to technical documentation. The candidate will also be comfortable supporting testing, and production accuracy after deployments.
How You Will Fulfill Your Potential
Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements.
Interpret, analyze and model the data from various data sources into Data Lakehouse.
Develop and implement databases, data collection systems, data analytics and other strategies that optimize efficiency and quality
Acquire data from primary or secondary data sources and maintain databases/data systems
Identify, analyze, and interpret trends or patterns in complex data sets
Filter and “clean” data by reviewing/comparing source data and performance indicators to locate and correct code problems
Work with management to prioritize business and information needs
Locate and define new process improvement opportunities
What We’re Looking For
6+ years of experience as a Data Analyst and Business Data Analyst
Experienced in creating Business Requirement and Technical Design Documentation, in specific to ETL and Data Lakehouse Development
Extensive SQL experience, such as writing complex queries across multiple tables, data analysis and profiling skills.
Design efficient data modeling techniques to source data into Data Lakehouse to build strong reporting and data integrations.
Experienced in suggesting Tactical and Strategic Data Solutions.
Must have strong verbal and written communication skills to work with stakeholders to gather and formulate business requirements, and then translate to technical documentation
Familiarity with OLAP (Redshift, Snowflake) and OLTP (PostgreSQL, MongoDB) databases.
Familiarity with various database designs (Relational, Columnar, NoSQL)
Some background in probability/statistics
Detail-oriented, ability to multitask and work in a fast-paced environment
Ability to work independently while also being a strong team player
Passionate about cutting-edge technologies
Preferred Qualifications
Master’s in Computer Science, Data Science or related field
Proven working experience as a Data Analyst or Business Data Analyst
Technical Expertise regarding data models, database design development, data mining and segmentation techniques
Strong knowledge of reporting packages (Tableau etc) and experience with databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
Strong Analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Adept at queries, report writing and presenting findings
Good knowledge of financial markets and financial instruments
Benefits
The base salary range for this role is $120,000 to $160,000.
The company offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer-matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off.
Send resume today for immediate consideration!
Data Manager - Healthcare:
Overview:
Our direct client, a fast-growing healthcare and data analytics firm based in the Boston area is seeking to bring on an experienced Data Analyst Manager to lead a dynamic, multinational data team. This role offers the opportunity to provide leadership, strategic insight, and hands-on expertise in healthcare data analysis while helping shape the future of data-driven solutions in the healthcare industry.The ideal candidate will bring not only strong technical skills in data analysis but also a deep understanding of the healthcare system — including its business models, operations, and regulatory landscape — ensuring technical solutions are aligned with real-world healthcare challenges.
This is a hybrid position requiring 3–4 days per week onsite at the company’s Boston, MA office and reports directly to the Vice President of Data.
Responsibilities:
Lead and mentor a team of Healthcare Data Analysts and QA Engineers, including offshore staff.
Partner with cross-functional teams to solve complex healthcare data challenges.
Serve as a primary point of contact for clients, providing technical solutions and resolving data-related issues.
Translate customer business needs into technical and operational requirements for the data team.
Promote and implement best practices in data processes, team collaboration, and system performance.
Monitor compliance with functional requirements, system standards, and data governance policies.
Required Qualifications:
Bachelor’s Degree or equivalent professional experience.
7+ years of experience in healthcare data analysis.
Strong knowledge of SQL and advanced Excel skills (pivot tables, VLOOKUP, charts).
Deep understanding of healthcare data standards including ICD-10, CPT, HCPCS, LOINC, SNOMED.
Strong business understanding of the healthcare industry — including healthcare delivery models, claims and billing workflows, payer-provider dynamics, and regulatory compliance.
Experience working with Electronic Health Records (Epic, Cerner, Meditech, or similar).
Familiarity with healthcare compliance and data privacy regulations (HIPAA, GDPR, HITECH).
Experience analyzing claims data from Medicare, Medicaid, and private insurers.
Knowledge of HEDIS quality measures and CMS data.
Strong communication and collaboration skills across technical and non-technical teams.
Must be authorized to work in the U.S. without sponsorship.
Preferred Qualifications:
7+ years of experience working with healthcare data.
Experience with Snowflake or similar cloud data platforms.
Prior experience leading offshore or distributed data teams.
Familiarity with Agile, Scrum, or Lean methodologies in data projects.
Experience with cloud platforms such as AWS, Google Cloud, or Azure.
Benefits:
Comprehensive medical, dental, and vision coverage.
401K with company matching, tuition assistance, FSA, and HSA options.
Generous paid time off and company holidays.
Flexible hybrid work schedule supporting work-life balance.
Career growth in a collaborative, innovative, and supportive environment.
If you're a data leader with a passion for healthcare and a sharp understanding of both its data and business landscapes — and you’re ready to work hands-on with senior leadership — we’d love to hear from you. Apply today!