Professional, ABF IMS Business Intelligence Associate

KKR

$80K — $120K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree required
  • 3-5 years experience in Data Analytics in Financial Services
  • Advanced knowledge of MS suite, SQL, and Python; other programming languages beneficial
  • Exceptional organization and attention to detail
  • Proven accuracy and deadline management in fast-paced environments
  • Excellent communication skills, both written and verbal
  • Experience in process improvement and automation

Responsibilities

  • Support Asset-Based Finance with residential and consumer loan data management
  • Design and develop automated data pipelines for normalization and standardization
  • Maintain centralized Snowflake databases and perform data transformation using SQL
  • Synthesize multiple data sources for reporting and actionable insights
  • Act as liaison between business stakeholders and engineering teams for project clarity

Benefits

  • Collaborative work environment with a reputable buy-side firm
  • Opportunity to engage directly with investment teams and stakeholders
  • Career development potential in investment operations
  • Hands-on experience with large asset portfolios
  • Exposure to advanced data tools and technologies like Snowflake
Full Job Description
POSITION SUMMARY

K-Star is seeking a Residential Mortgage / Consumer Loan Data Analytics Associate to join its ABF Investment Services Team focusing on Asset-Based Finance investments. This is an excellent opportunity for someone who wishes to build a career in investment operations at a reputable buy-side firm. The role is based in Dallas and collaborates regularly with the deal team at KKR.

The ideal candidate will have 3-5 years of relevant experience at a financial institution with exposure to residential mortgage and/or consumer data analytics. The position will support the Asset-Based Finance desk and will work directly with the investment team to assist with data analysis and management related to its existing $30bn portfolio. The role requires constant communication with the deal team and various stakeholders and business groups, so strong communication and relationship-building skills are essential.

RESPONSIBILITIES
  • Support the Asset-Based Finance group with data management related to residential and consumer loans
  • Design and develop automated end-to-end pipelines to ingest, normalize, and standardize data.
  • Maintain centralized databases in Snowflake, using SQL to transform or analyze data and create downstream reporting and hosting the data in a centralized database (Snowflake) for easy access
  • Synthesize multiple data sources to produce meaningful reporting and analytics with actionable insights for Senior Leadership and other stakeholders
  • Serve as primary liaison between business stakeholders and engineering teams, either as the engineer building out the project or assisting our technology team with requirements and clear plans to reduce turnaround time


QUALIFCATIONS
  • Minimum of a Bachelor's degree
  • 3-5 years of experience in Data Analytics within the Financial Services industry with exposure to residential / consumer data
  • Advanced knowledge of MS suite, SQL, and Python. Other programming languages are a plus
  • Strong personal initiative, exceptional organization and attention to detail, and ability to learn quickly
  • A track record in accuracy and meeting deadlines in a fast-paced, growing work environment with high expectations
  • Excellent written, verbal and interpersonal communication skills
  • Team-oriented with strong integrity and professionalism
  • Experience and track record in process improvement and automation

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