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Senior Business System Analyst

Apex Systems - 14 Jobs
Greater Toronto Area, ON
Posted 3 days ago
Job Details:
Full-time
Entry Level

Job Description

Senior BSA (Investment Management)

Apex Systems is a global IT services provider and our staffing practice has an opening for a Senior BSA (Investment Management) with domain experience in Investment Management, working on data integration projects, Power BI, SQL Queries to place at our client, a top Financial Institution.

Terms: 6-month contract (strong possibility for extension)

Location: Downtown Toronto (currently 2 days onsite work required, Tuesdays and Thursdays)

Application Process: It is best to apply via the medium on which you are seeing this posting. If you encounter technical difficulties submitting your resume, please send your resume in Word format to Diana Baraky at [email protected] and reference Senior BSA (Investment Management)

Responsibilities:

  • Performs analysis of business activities to determine business requirements.
  • Converts business functional workflow and data requirements into functional specifications.
  • Works closely with the IM technology account manager, application development manager, project managers, business users, QA, developers, and other technology professionals to ensure that project deliverables are completed on time and within budget.
  • Using currently documented workflows and control points, work with traders, portfolio managers, investment operations and compliance, business applications support and data management, CRIMS and State Street Bank / Alpha Data Platform (ADP) vendor professional services teams to build and configure new workflows and dataflows that meet the needs of the business as well as eliminate or minimize existing pain points while still maintaining necessary control points.
  • Document new workflows.
  • Work with Business Application Support (BAS), IT development and QA teams to ensure existing application integrations are working as designed, including ensuing all SMF/IBOR/ABOR data elements are being loaded and displayed properly.
  • Manages complexity across business value, technology, and interaction models.
  • Possesses a deep understanding and problem-solving ability of various complexities.
  • Enables groups to successfully accept changes by informing stakeholders of their implications; recommends actions as appropriate.
  • Works with project stakeholders to validate their requirements and analysis models via techniques such as reviews and walkthroughs.
  • Ensures system specifications meet expectations/requirements and negotiates solutions.
  • Creates documentation to ensure the supportability of analyses.
  • Maintains existing requirements to ensure that current-state needs are known.
  • Develops and implements data collection systems and other strategies that optimize statistical efficiency and data quality.
  • Identifies, analyzes, and interprets trends or patterns in complex data sets.
  • Remains alert to new techniques for data analytics, custom reporting, and data visualization tools, and devises new ways of applying them.
  • Recommends approaches to streamline and integrate technological processes in the organization to improve overall efficiency.
  • Facilitates discussions and follows a structured approach to plan, elicit, analyze, document, communicate and manage requirements with stakeholders.
  • Provides specialized consulting, analytical and technical support.
  • Exercises judgment to identify, diagnose, and solve problems within given rules.
  • Works independently and regularly handles non-routine situations.

Key Qualifications:

  • 10+ years of relevant experience in financial services / investment management / wealth management and/or capital markets technology field, and at least Bachelor's degree, or preferably, MBA/MS degree in computer science, software engineering, information systems, finance, mathematics, data analytics or business administration.
  • The applicant should have in-depth knowledge of various global investment asset classes, publicly listed securities and market data attributes, investment performance and risk data attributes and portfolio management concepts, trade and portfolio accounting attributes and the overall trade processing and portfolio accounting life cycles across major asset classes, investment instruments and products.
  • Hands-on experience with investment management vendor systems, such as: Charles River IMS, Blackrock Aladdin, Bloomberg DL, Refinitiv, SimCorp Dimension, Vermilion, FactSet, Markit EDM, Eagle PACE/STAR, State Street's DataGX and Alpha Data Platform (ADP), SS&C PORTIA Perform; Axioma, BARRA, Bloomberg PORT and Wilshire portfolio risk systems, etc.
  • Broad background in trading, including but not limited to execution management systems, trade order management and pre-trade investment compliance systems and processes, and portfolio accounting and investment performance reporting, etc.
  • Knowledge of the mutual fund and exchange-traded fund products and associated marketing and distribution channels, workflows and dataflows, including 3rd party mutual fund, ETF and benchmark data aggregators.
  • Knowledge of software development practice, concepts/methodologies (i.e. Waterfall, Agile, Scrum/Iterative), and technology obtained through formal training and/or work experience.
  • Experience using Jira and Confluence, or any other agile software packages
  • Knowledge of one or more requirements analysis and problem decomposition techniques.
  • Knowledge of Relational Databases. Intermediate hands-on experience with SQL queries.
  • Possible experience with latest cloud-based data-lake technology solutions (e.g., Snowflake, etc.)
  • Possesses analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Specific skills/other requirements: utilizing MS Office Suite, including MS Visio for process, system and data flow modelling; collecting, querying and analyzing complex financial data structures and data warehouses using advanced MS Excel, MS SQL, MS PowerBI or related data query / analytics / data visualization tools and languages.

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