Jr Global Securities Reference Data Analyst
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Monthly Salary:
Experience Required:
Posted on:
12 hours ago
Vacancies:
1 Vacancy
Job Summary
Position Title: Jr Global Securities Reference Data Analyst
Work Set-up: Work Onsite/ BC10
Schedule: Monday to Friday 7 AM 3:30 PM PH Time
Salary: Php 18k to 20k for Fresh Grad
Php 20k to 40k for 1 to 2 years
About the Client
Our client is a US hedge-fund-backed IT firm. Established in 2019 they deliver 24/7 global services in financial data science DevOps software engineering and high-performance computing. They are building a next-generation Corporate Reference Data Platform used by financial institutions worldwide.
About the Role
We are building a Corporate Reference Data Platform to serve financial institutions worldwide and we are looking for a junior securities data analyst to join our team and develop expertise in global reference data.
This role is designed for someone early in their capital markets career who wants to build knowledge of securities identifiers corporate actions and reference data operations. You will work closely with senior analysts and development teams to support data validation quality control and platform development.
Career flexibility: Depending on your interests and aptitudes you can grow toward becoming either a securities data subject matter expert or develop technical data engineering skills or both. We will support your development based on your strengths and career goals.
Key Responsibilities
Review and validate securities reference data including identifiers (ISIN FIGI CUSIP SEDOL) corporate actions and regulatory filings
Perform data quality checks across multiple markets and exchanges
Assist with tracking and processing corporate events (dividends mergers spin-offs)
Learn to write SQL queries for data validation and analysis
Support ETL process monitoring and develop basic Python scripts as skills progress
Document data processes mappings and quality standards
Collaborate with regional teams and support senior analysts with research tasks
Leverage AI tools to support research learning and problem-solving
Required Qualifications:
Education & Experience
Bachelors degree in Finance Economics Accounting Business Computer Science IT or related field
0-2 years of experience in financial services securities operations or data analysis
No prior experience with reference data required
Foundational Knowledge (We will develop these skills)
Basic understanding of financial markets and securities
Interest in learning about securities identifiers corporate actions and reference data
Willingness to develop expertise in capital markets and securities data operations
Technical Skills (Comprehensive training provided)
Basic proficiency with Excel or spreadsheet applications
SQL: No prior experience required training provided from beginner to intermediate level
Python: No prior experience required we will teach you scripting and data processing Interest in learning data engineering concepts (ETL APIs data pipelines)
Openness to using AI tools (ChatGPT Claude or similar) to accelerate learning and enhance productivity
Professional Skills
Good English communication skills (written and verbal)
Strong attention to detail and analytical thinking
Ability to learn quickly and ask good questions
Team player who collaborates well across regions
What Youll Learn
Securities Domain Expertise
Global securities identifier systems (ISIN FIGI CUSIP SEDOL)
Corporate actions lifecycles and processing across different markets
Regulatory filings and how reference data flows from exchanges to end clients
Cross-border securities operations and multi-market data standards
Technical & Data Engineering Skills
SQL: From basic queries to complex joins and data validation
Python: Data manipulation automation scripting API integration
ETL processes: Data extraction transformation loading and pipeline management
Data quality frameworks and validation techniques
Effective use of AI tools for research code generation documentation and problem-solving
You Are a Good Fit for This Role If You:
Have curiosity about how financial markets work or an interest in working with complex data systems
Enjoy working with structured data and finding patterns or anomalies
Are detail-oriented and take pride in accuracy
Want to discover whether you excel at domain expertise technical work or both
Are comfortable asking questions and learning from experienced colleagues
Can handle ambiguity and research solutions to unfamiliar problems
Enjoy solving puzzles and understanding how systems work Are excited about using modern tools including AI assistants to learn faster and work more efficiently
Your love for Boomering will jump-start with these meaningful engagement activities and perks. Using the concepts and tools of EOS (Entrepreneurial Operating System) Boomering provides a fun rewarding and stimulating environment where work-life balance meets a commitment to foster growth.
Genuinely caring Leadership Team
Competitive salary package
Company-provided full set-up for desktop/laptop with a back-up internet
Free pre-employment Medical Assessment (T&C apply)
HMO on the first day of hire
15 Vacation Leaves and 5 Sick Leaves
Annual Performance Reviews
Unlimited Employee Referral Incentives
Employee Loan Facilities
Social Clubs and Interest Workshops
Company events where you get a chance to win amazing prizes and be rewarded for your outstanding performance.
Statutory Benefits: Maternity Paternity and Solo Parent Leaves Magna Carta for Women Retirement Benefits OT and Premium Pays
About Boomering:
Boomering is an ISO-certified leading BPO company in Clark Freeport Zone Pampanga.
Our mission to Enrich Client and Staff Lives through Simple and Smart Offshoring Solutions and our S.T.E.P. Core Values (Service Transparency Excellence and Partnership) are the framers of our continuing success.
Providing equal opportunities and collaborative culture of excellence Boomering is not just your average BPO. We are here to make a difference.
Future-proof your career and pursue your passion with Boomering! We want career thrill-seekers who are committed to growth as much as we are.
Website:
Career Portal: and LinkedIn: Boomering Inc.; Boomering Careers
Work Set-up: Work Onsite/ BC10
Schedule: Monday to Friday 7 AM 3:30 PM PH Time
Salary: Php 18k to 20k for Fresh Grad
Php 20k to 40k for 1 to 2 years
About the Client
Our client is a US hedge-fund-backed IT firm. Established in 2019 they deliver 24/7 global services in financial data science DevOps software engineering and high-performance computing. They are building a next-generation Corporate Reference Data Platform used by financial institutions worldwide.
About the Role
We are building a Corporate Reference Data Platform to serve financial institutions worldwide and we are looking for a junior securities data analyst to join our team and develop expertise in global reference data.
This role is designed for someone early in their capital markets career who wants to build knowledge of securities identifiers corporate actions and reference data operations. You will work closely with senior analysts and development teams to support data validation quality control and platform development.
Career flexibility: Depending on your interests and aptitudes you can grow toward becoming either a securities data subject matter expert or develop technical data engineering skills or both. We will support your development based on your strengths and career goals.
Key Responsibilities
Review and validate securities reference data including identifiers (ISIN FIGI CUSIP SEDOL) corporate actions and regulatory filings
Perform data quality checks across multiple markets and exchanges
Assist with tracking and processing corporate events (dividends mergers spin-offs)
Learn to write SQL queries for data validation and analysis
Support ETL process monitoring and develop basic Python scripts as skills progress
Document data processes mappings and quality standards
Collaborate with regional teams and support senior analysts with research tasks
Leverage AI tools to support research learning and problem-solving
Required Qualifications:
Education & Experience
Bachelors degree in Finance Economics Accounting Business Computer Science IT or related field
0-2 years of experience in financial services securities operations or data analysis
No prior experience with reference data required
Foundational Knowledge (We will develop these skills)
Basic understanding of financial markets and securities
Interest in learning about securities identifiers corporate actions and reference data
Willingness to develop expertise in capital markets and securities data operations
Technical Skills (Comprehensive training provided)
Basic proficiency with Excel or spreadsheet applications
SQL: No prior experience required training provided from beginner to intermediate level
Python: No prior experience required we will teach you scripting and data processing Interest in learning data engineering concepts (ETL APIs data pipelines)
Openness to using AI tools (ChatGPT Claude or similar) to accelerate learning and enhance productivity
Professional Skills
Good English communication skills (written and verbal)
Strong attention to detail and analytical thinking
Ability to learn quickly and ask good questions
Team player who collaborates well across regions
What Youll Learn
Securities Domain Expertise
Global securities identifier systems (ISIN FIGI CUSIP SEDOL)
Corporate actions lifecycles and processing across different markets
Regulatory filings and how reference data flows from exchanges to end clients
Cross-border securities operations and multi-market data standards
Technical & Data Engineering Skills
SQL: From basic queries to complex joins and data validation
Python: Data manipulation automation scripting API integration
ETL processes: Data extraction transformation loading and pipeline management
Data quality frameworks and validation techniques
Effective use of AI tools for research code generation documentation and problem-solving
You Are a Good Fit for This Role If You:
Have curiosity about how financial markets work or an interest in working with complex data systems
Enjoy working with structured data and finding patterns or anomalies
Are detail-oriented and take pride in accuracy
Want to discover whether you excel at domain expertise technical work or both
Are comfortable asking questions and learning from experienced colleagues
Can handle ambiguity and research solutions to unfamiliar problems
Enjoy solving puzzles and understanding how systems work Are excited about using modern tools including AI assistants to learn faster and work more efficiently
Your love for Boomering will jump-start with these meaningful engagement activities and perks. Using the concepts and tools of EOS (Entrepreneurial Operating System) Boomering provides a fun rewarding and stimulating environment where work-life balance meets a commitment to foster growth.
Genuinely caring Leadership Team
Competitive salary package
Company-provided full set-up for desktop/laptop with a back-up internet
Free pre-employment Medical Assessment (T&C apply)
HMO on the first day of hire
15 Vacation Leaves and 5 Sick Leaves
Annual Performance Reviews
Unlimited Employee Referral Incentives
Employee Loan Facilities
Social Clubs and Interest Workshops
Company events where you get a chance to win amazing prizes and be rewarded for your outstanding performance.
Statutory Benefits: Maternity Paternity and Solo Parent Leaves Magna Carta for Women Retirement Benefits OT and Premium Pays
About Boomering:
Boomering is an ISO-certified leading BPO company in Clark Freeport Zone Pampanga.
Our mission to Enrich Client and Staff Lives through Simple and Smart Offshoring Solutions and our S.T.E.P. Core Values (Service Transparency Excellence and Partnership) are the framers of our continuing success.
Providing equal opportunities and collaborative culture of excellence Boomering is not just your average BPO. We are here to make a difference.
Future-proof your career and pursue your passion with Boomering! We want career thrill-seekers who are committed to growth as much as we are.
Website:
Career Portal: and LinkedIn: Boomering Inc.; Boomering Careers
Company Industry
IT Services and IT Consulting
Key Skills
- Data Analytics
- Microsoft Access
- SQL
- Power BI
- R
- Data Visualization
- Tableau
- Data Management
- Data Mining
- SAS
- Data Analysis Skills
- Analytics
