Quantitative Analyst, Data & Financial Modeling

Business Integration Partners (BIP) is Europe’s fastest growing digital consulting company and are on track to reach the Top 20 by 2030, with an expanding global footprint in the US (New York, Charlotte, Chicago, and Houston). Operating at the intersection of business and technology we design, develop, and deliver sustainable solutions at pace and scale creating greater value for our customers, employees, shareholders, and society. BIP specializes in high-impact consulting services across multiple industries with 6,000 employees worldwide. Our domains include Financial Services business serves Capital Markets, Insurance and Payments verticals, supplemented with Data & AI, Cybersecurity, Risk & Compliance, Change Management and Digital Transformation practices. We integrate deep industry expertise with business, technology, and quantitative disciplines to deliver high-impact results for our clients. BIP is currently expanding its footprint in the United States, focusing on growing its Capital Markets and Financial Services lines. Our teams operate at the intersection of business strategy, technology, and data to help our clients in driving smarter decisions, reducing risks, and staying ahead in a fast-evolving market environment. Role Overview We are seeking a highly analytical Quantitative Analyst to support financial data analysis, modeling, and AI-driven transformation initiatives within a leading financial services environment. This role requires a unique blend of financial domain expertise, data modeling capabilities, and systems analysis experience. The ideal candidate will quickly develop an understanding of fund-level upstream data sources, financial data structures, accounting processes, and underlying application logic to help define the firm's target-state data architecture and AI strategy. The successful candidate will serve as a bridge between Finance, Technology, Data Engineering, and AI teams, producing high-quality artifacts including data flow diagrams, business requirements, functional specifications, and data models that support the development of next-generation analytics and AI-enabled solutions. Key Responsibilities Analyze and interpret accounting, fund accounting, and financial datasets to support business decision-making, reporting, and transformation initiatives Quickly identify and document upstream fund-level data sources, financial attributes, data lineage, and data dependencies across the enterprise Develop a deep understanding of accounting system workflows, financial processing logic, and underlying application code to support target-state architecture design Produce detailed artifacts including data flow diagrams, process maps, business requirements, functional specifications, and data dictionaries Partner with stakeholders to define future-state data models and architectures that support advanced analytics, AI, and machine learning use cases Design, build, and maintain robust data models aligned with financial, accounting, and risk management frameworks Work with large, complex datasets in Snowflake and SQL‑based environments Develop and optimize SQL queries for data extraction, transformation, and analysis Translate financial reporting requirements and business objectives into scalable data‑driven solutions Collaborate closely with Finance, Risk, Data Engineering, Architecture, and AI teams to ensure data accuracy and alignment Support the development of AI‑ready datasets and metadata structures that enable model training, reporting automation, and intelligent analytics Ensure data quality, governance, lineage, and consistency across systems Contribute to enterprise data strategy, target-state architecture, and modeling standards Required Qualifications 5+ years of strong understanding of accounting principles, fund accounting concepts, and financial data structures Proven experience analyzing complex financial datasets and reporting environments Experience documenting business processes, data flows, requirements, and functional specifications Ability to rapidly understand upstream and downstream data ecosystems within financial services organizations Advanced proficiency in SQL for querying, transformation, and data analysis Hands‑on experience with Snowflake or similar cloud‑based data platforms Experience designing and maintaining financial data models Strong stakeholder management skills with the ability to communicate effectively across business and technology teams Experience working across multiple data sources and reconciling complex financial information Preferred Qualifications Background in quantitative analysis, financial engineering, business analysis, or data analytics Experience within asset management, fund accounting, capital markets, treasury, or risk management environments Exposure to AI, machine learning, or data science initiatives Experience supporting enterprise data transformation or target-state architecture programs Familiarity with data lineage, metadata management, and governance frameworks Experience with ETL/ELT pipelines and modern data engineering practices Experience working in consulting or client‑facing environments Core Competencies Strong analytical and problem‑solving mindset Ability to connect financial concepts with technical implementations Excellent documentation and process modeling capabilities Strong attention to detail and data accuracy Ability to work independently in fast‑paced environments Effective communication and stakeholder management skills Curiosity and aptitude for understanding complex financial systems and data ecosystems Base Salary and Benefits The base salary range for this role is $120,000 - $160,000, with flexibility for exceptional candidates Choice of medical, dental, vision insurance. Voluntary benefits. Short‑ and long‑term disability. HSA and FSAs. Matching 401k. Discretionary performance bonus. Employee referral bonus. Employee assistance program. 11 public holidays. 20 days PTO. 7 Sick Days. PTO buy and sell program. Paid parental leave. Remote/hybrid work environment support. For more information about BIP US, visit It is BIP US Consulting policy to provide equal employment opportunities to all individuals based on job‑related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship, or marital status, and to maintain a non‑discriminatory environment free from intimidation, harassment or bias based upon these grounds. BIP US provides a reasonable range of compensation for our roles. Actual compensation is influenced by a wide array of factors including but not limited to skill set, education, level of experience, and knowledge. #J-18808-Ljbffr BIP US