Summary
Overview
Work History
Education
Skills
Languages
Timeline
Generic

Arkelino Hila

London

Summary

Product Specialist with deep experience in structured finance data, TBA/Agency MBS workflows, and delivering high-impact data solutions. Operates at the intersection of product, sales, data engineering, and clients, with a strong ability to translate business needs into functional requirements and guide multi-stakeholder projects from concept to delivery. Skilled in workflow design, solution presentations, trial support, and cross-functional collaboration. Known for exceptional communication, strategic thinking, and elevating customer satisfaction.

Overview

3
3
years of professional experience

Work History

Product Specialist – Agency MBS Pricing & Data

S&P Global Market Intelligence
01.2023 - Current

Client Engagement & Product Delivery

  • Served as a primary point of contact for client discussions on TBA pricing, Agency MBS data, market color, and structured finance workflows , delivering clear explanations of methodologies and data structure.
  • Led over 10 client demos, internal presentations, and product walkthrough , explaining data logic and demonstrating value to stakeholders across trading desks, risk teams, and analytics groups.
  • Achieved 92%+ challenge turnaround within 24-hour SLA , ranking among the top for customer service and accuracy.

Product Development & Technical Collaboration

  • Played a core role in designing the live TBA Pricing Dashboard , shaping user requirements, interface logic, data structure, and workflow configurations in collaboration with developers.
  • Drove cross-functional coordination across product, engineering, QA, business development , and senior leadership to ensure smooth build, testing, rollout, and client adoption.
  • Supported automation-readiness by improving data validation, pricing logic, and coverage of market color across payups by 90%, WALA, coupon cohorts, and 10 new story categories.

Workflow Design & Operational Efficiency

  • Built structured processes and daily coverage workflows for a small overseas support team, improving accuracy and streamlining operational response.
  • Reduced valuation challenges from 1,500+ per month to under 250 , driven by stronger methodology, coverage expansion, and better communication with auditors and clients.
  • Managed ongoing vendor relationship with TREPP , ensuring alignment on data quality, coverage, and delivery requirements.

Cross-Sales & Internal Enablement

  • Partnered with business development to refine messaging, methodology explanations, and value propositions for structured products solutions.
  • Published internal content—including an article on AI's impact on Agency MBS processes —strengthening product positioning and thought leadership.

Tools

  • Daily use of SQL for data extraction, validation, and building internal tools.
  • Strong understanding of APIs, feeds, and enterprise data delivery models (not hands-on coding—business-level expertise).
  • Platforms: Oracle SQL, Microsoft Office package, Intex, internal systems.
  • Designed core structure, logic, and interface requirements.
  • Collaborated with development team from concept → build → testing → demo → rollout.
  • Brought transparency and real-time capability to TBA pricing, strengthening commercial value and client adoption.
  • Expanded story categories, WALA segmentation, and market color coverage.
  • Meaningfully improved pricing quality and reduced error rates.
  • Supported both internal stakeholders and auditors with clear, defensible methodology.
  • Authored an internal article on the role of AI in Agency MBS workflows, contributing to strategic conversations around modernizing structured finance.



Operations Analyst Intern – Structured Finance

S&P Global Market Intelligence
07.2022 - 08.2022
  • Supported daily agency MBS pricing and reference data validation for the operations team.
  • Conducted research on market volatility, spreads, and rate movements , summarizing insights for valuation analysts.
  • Gained foundational experience with internal data pipelines, pricing workflows, and SQL-based data extraction.

Education

Bachelor of Science - Information Technology

St. Francis College
Brooklyn, NY
12-2022

Skills

  • Client relationship management
  • SQL (daily use)
  • Cross-departmental collaboration
  • Workflow optimization
  • Product demonstrations
  • Organizational skills
  • Pricing strategy
  • Product roadmap
  • Reliability
  • Data interpretation

Languages

Albanian
Native or Bilingual
English
Full Professional

Timeline

Product Specialist – Agency MBS Pricing & Data

S&P Global Market Intelligence
01.2023 - Current

Operations Analyst Intern – Structured Finance

S&P Global Market Intelligence
07.2022 - 08.2022

Bachelor of Science - Information Technology

St. Francis College