Technical Business Systems Analyst

One of our leading client is looking for Technical Business Systems Analyst in Newark NJ

Key Responsibilities:

• Capital markets (Equity, Fixed Income, Derivatives)

Asset management / investment lifecycle

Portfolio management concepts

Asset allocation and risk-adjusted returns

Investment valuation techniques

CFA (Chartered Financial Analyst) – Required or Progressing

Financial modeling (Excel, Python preferred)

Data analysis and reporting tools (SQL, Power BI, Tableau)

Experience with financial platforms or data sources (Bloomberg, FactSet, etc.)

Requirement gathering and documentation

Process mapping and workflow design

Strong analytical and problem-solving skills

• Own end to end delivery and support of financial services data products, from requirement intake through production support, ensuring stability, accuracy, and timeliness.

• Act as the primary Technical BSA for BAU and production data issues, taking accountability for root cause analysis, remediation, and prevention of recurring issues.

• Partner with business stakeholders to translate financial domain business needs into clear, actionable functional and technical specifications, including data mappings, transformations, and validation rules.

• Work closely with data engineering and technology teams to analyze existing data logic, review SQL and code, and validate that implementations align with business intent.

• Proactively monitor and assess data quality, identify issues early, and drive resolution through to completion rather than simple escalation.

• Support Agile delivery by contributing to backlog refinement, sprint planning, story breakdown, acceptance criteria, and release readiness.

• Collaborate with Front Office, Risk, Operations, and downstream consumers to clarify requirements, resolve data questions, and ensure shared understanding of outputs and impacts.

• Ensure data solutions meet production grade standards, including stability, accuracy, traceability, auditability, and operational resilience.

• Continuously improve BAU processes, controls, and documentation, reducing operational risk and improving transparency and efficiency.

• Proactively identify opportunities for process optimisation, automation, and improved data controls, incorporating best practices across financial services data delivery.

Your Profile

Essential skills/knowledge/experience:

• Bachelor’s degree in computer science, Information Systems, Data Analytics, Business Information Systems, or a related discipline.

• 5 years proven experience in a Technical Business Analyst, Business Systems Analyst, Data Analyst, or similar role within financial services / capital markets.

• Hands on experience supporting investment, trading, risk, operations, or regulatory reporting data platforms in a production environment.

• Experience working with industry standard investment or portfolio management platforms.

• Strong understanding of financial services data domains, with the ability to engage confidently with Front Office, Risk, Operations, and Technology stakeholders without heavy translation layers.

• Demonstrated experience acting as a primary BA/BSA for BAU and production critical issues, with clear ownership from investigation through resolution.

• Strong analytical and problem solving skills, particularly in the context of complex data, business logic, and operational issues.

• Excellent communication skills, with the ability to explain complex data concepts clearly to both technical and non technical audiences.

• Ability to manage multiple priorities and deliver outcomes in a fast paced, Agile delivery environment, with a strong sense of ownership and accountability.

Technical Skills & Experience:

• Strong SQL expertise, including the ability to:

o write, review, and optimise complex queries,

o perform independent data analysis and validation

o debug and investigate production data issues

• Hands on experience working with relational data models and enterprise data platforms (e.g. Microsoft SQL Server).

• Ability to read existing code (e.g. SQL, Python, Java) to extract, decompose, and validate underlying business logic.

• Solid understanding of core data concepts, including:

o Source to target mappings

o Data transformations and enrichment

o Historical vs “as of” data handling

o Data quality, reconciliation, and control frameworks

• Good understanding of data flows, system integrations, and application architectures within enterprise environments.

Desirable skills/knowledge/experience:

• Exposure to process optimisation, automation, or data governance initiatives within financial services.

• Experience working in globally distributed delivery teams.