Data Assurance Specialist- Leading Investment Bank | Singapore, SG

Pinpoint Asia; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

An established industry player in the investment banking sector is seeking a proactive Data Assurance Specialist to enhance their risk management team. This role is pivotal in ensuring the accuracy and scalability of critical securities modeling and pricing data across the organization. You will be responsible for resolving data exceptions, collaborating with product experts, and implementing process improvements globally. The ideal candidate will possess strong analytical skills, a keen attention to detail, and the ability to communicate complex issues effectively. If you're ready to take your career to the next level in a dynamic environment, this opportunity is perfect for you.

Qualifications

• 1-3 years of experience with data in finance/banking.
• Strong analytical skills and attention to detail required.

Responsibilities

• Resolve data exceptions and investigate technical issues.
• Collaborate with teams to improve reference data quality.

Skills

Analytical Skills

Problem-Solving

Attention to Detail

Communication Skills

Dynamic Analysis

Education

Bachelor's degree in Data Science

Bachelor's degree in Statistics

Tools

Microsoft Excel

SQL

Job description

Data Assurance Specialist- Leading Investment Bank

Pinpoint Asia Singapore

Posted: 2 days ago | Contract: S$6k per month

Our client, a leading investment bank, is looking for a self-motivated and proactive data assurance specialist to join their risk management team to ensure that critical securities modeling and pricing data is accurate, complete, and scalable across all company divisions. This data is a crucial component for most trade and client support functions.

Responsibilities:

• Gain a comprehensive understanding of all product types and interact with various professionals such as traders, strategists, and other operations professionals.
• Proactively resolve data exceptions, investigate and fix complex technical issues spanning multiple teams and vendors.
• Partner with global product experts to resolve comprehensive reference data problems involving multiple stakeholders across teams and divisions.
• Showcase meticulous attention to detail and master all aspects of product and pricing reference data, interpreting their attributes to all systems depending on these attributes.
• Develop strong relationships with critical vendors providing reference data to enhance their controls and improve the product quality.
• Implement your ideas for process improvement globally to uplift the entire process.
• Collaborate with senior technologists and project managers on key projects to reshape the reference data support model used across the financial industry.

Requirements:

• Bachelor’s degree from a reputable university in disciplines such as Data Science, Statistics, or related fields.
• 1-3 years of working experience with data, ideally in the finance/banking industry.
• Good working knowledge of Microsoft Excel/SQL.
• Proven analytical skills, problem-solving ability, and a meticulous attention to detail.
• Ability to manage multiple tasks with dynamic and aggressive deadlines.
• Aptitude for building relationships and the ability to communicate complex issues to various internal clients with different levels of product experience.
• Ability to effectively manage competing priorities and work well under pressure in a team environment.
• Self-directed with the ability to prioritize efforts among competing demands and escalate issues quickly.
• Dynamic analysis skills to highlight issues with products or business ideas.
• Ability to solve problems and explain underlying issues to non-technical clients or colleagues.

If this outstanding opportunity sounds like your next career move, please submit through "Apply Now" or send your resume in Word format to Lu Zhang at [e-mail] and put Data Assurance Specialist- Leading Investment Bank in the subject header.

Data provided is for recruitment purposes only.