Job description

COMPANY OVERVIEW KKR is a leading global investment firm that offers alternative asset management as well as capital markets and insurance solutions. KKR aims to generate attractive investment returns by following a patient and disciplined investment approach, employing world-class people, and supporting growth in its portfolio companies and communities. KKR sponsors investment funds that invest in private equity, credit and real assets and has strategic partners that manage hedge funds. KKR’s insurance subsidiaries offer retirement, life and reinsurance products under the management of Global Atlantic Financial Group. References to KKR’s investments may include the activities of its sponsored funds and insurance subsidiaries. K-STAR INVESTMENT SERVICES OVERVIEW K-Star Asset Management LLC ("K-Star") was formed in 2022 and is a wholly owned subsidiary of KKR. K- Star Investment Services supports the risk management of its Asset-Based Finance investments, asset management, securities investing, and client experience for its Real Estate Credit franchise as both verticals continue to scale. The K-Star team includes industry specialists to oversee residential mortgage investments, consumer finance investments, special servicing, stabilized and transitional loan asset management across many KKR investment portfolios. 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. We are passionate about operational excellence and providing our investment and business operations colleagues the ability to seamlessly execute liquid and private credit investments around the globe. We are committed to continuous improvement, both in the operations we perform and in the environment in which we work. We work in collaborative teams within the context and support of a large, global investment firm. We can offer challenging and rewarding work and opportunities for career advancement and learning in both the business and operational spheres. 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 KKR is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law. KKR is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law. KKR will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email Benefits@kkr.com . Emails sent for unrelated issues, such as following up on an application, will not receive a response. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access kkr.com because of your disability. You can request reasonable accommodations by sending an email to Benefits@kkr.com . Only emails left for this purpose will be returned. Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. This notice applies only to applicants and employees who work or will work in Massachusetts, in accordance with applicable state law.

Requirements

Must-haves

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
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
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

Nice-to-haves

Advanced knowledge of MS suite, SQL, and Python. Other programming languages are a plus

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlpython

Platform: greenhouse
Effort: quick