Client Delivery Specialist, Automation - Associate

iCapital; Salt Lake City (UT); Hybrid; USD 75,000 - 85,000; Full time

Job summary

iCapital is seeking a Client Delivery Specialist Associate to join the Automation team within the Data Solution department in Salt Lake City, Utah. You will lead ETL data conversions, integrate historical financial data, support automated data feeds, and respond to client data requests to ensure accuracy and integrity of financial information.

The role involves working with cutting-edge technology, remote-friendly Friday option, and a compensation package including salary, equity, and annual

Qualifications

• Bachelor's degree in finance, CS, statistics, mathematics, data science or a similar field.
• 2-5+ years in the financial industry with a proven financial product support track record.
• Expertise with Addepar and familiarity with portfolio management systems (Advyzon, APX, Axys, Black Diamond, Orion, Ridgeline, Tamarac).
• Strong background with custodial data and supporting alternative financial instruments.
• Advanced proficiency in Excel and text-file manipulation; familiarity with JSON, XML, and unstructured-to-structured transformation is a plus.
• Experience with Python, SQL, Power Automate or other large data-set software.
• Proven history of automating data-related processes and data integration, including log file creation and maintenance.
• Understanding of Salesforce, Monday.com, Jira, and GitLab.
• Comfort working with geographically dispersed teams; strong verbal and written communication with clients.
• MS/MBA, CFA, CAIA, or CFP is a plus.

Responsibilities

• Lead data conversion projects, including ETL between portfolio management systems and mapping data to new standards.
• Integrate historical financial data by converting complex files into structured formats for backfilling.
• Support automated data feeds; troubleshoot and ensure seamless transformation of daily transactions and positions.
• Respond to ad-hoc data requests from client-facing teams with timely and accurate information.

Skills

Data analysis

Attention to detail

Communication

Client support

Education

Bachelor's degree in finance, CS, stats, math, data science or similar

Tools

Python

SQL

Power Automate

Addepar

Advyzon

APX

Axys

Black Diamond

Orion

Ridgeline

Tamarac

Salesforce

Monday.com

Jira

GitLab

JSON

XML

Excel

Job description

Client Delivery Specialist, Automation - Associate

Salt Lake City, Utah, United States

About the Role

iCapital is seeking aClient Delivery Specialist Associateto jointhe Automation teamwithin the Data Solution department. This rolewill ensureaseamless flow of financial data foriCapital’sclients and internal teams.This individualwill supportbusinesscritical processes from portfolio management system conversions to performance reconciliation.

This role offers the opportunity to contribute directly toour missionby ensuring the accuracy and integrity of our financial data.This personwill beapart of a dynamic team focused on innovation and efficiency, working withcutting-edgetechnology to streamline client onboarding and reporting.

Responsibilities

• Lead data conversion projects, including extracting, transforming, and loading (ETL) data between portfolio management systems. This involves understanding source system requirements, mapping data to new system standards, and managing the conversion of large datasets from legacy systems.
• Integrate historical financial data by converting potentially complex and unstructured data files and statements into structured formats suitable for backfilling.
• Provide support for automated data feeds, troubleshootingissuesand ensuring the seamless transformation of daily financial transactions and positions into source system imports. This requires a strong understanding of the automated data processing system.
• Respond to ad-hoc data requests from client-facing teams, providingtimelyandaccurateinformation.

Qualifications

• Bachelor's degree with a concentration in finance, computer science, statistics, mathematics, data science, or a similar field
• 2-5+years inthe financialindustry,demonstratinga proventrack recordoffinancialproductsupport, technicalproficiency, andsolidaccounting knowledge
• ExpertisewithAddeparand familiarity with other portfolio management systems, such asAdvyzon, APX,Axys, Black Diamond, Orion, Ridgeline, Tamarac
• Strong background working with financial custodial data andproficiencysupporting alternative financial instruments
• Advancedproficiencyin Excel andtextfilemanipulation.Familiarity with other data formats, such asJSON, XML, and unstructured-to-structured transformation isa plus
• Experiencewithat least one of the following:Python,SQL,Power Automateor other large data set software,demonstratingthe ability to extract and transform data
• Demonstrated history of automating data-related processes such as data integration, including log file creation and maintenance
• Understanding ofSalesforce, Monday.com, Jira, and GitLab
• Comfort working with a geographically dispersedteam
• Stronginterpersonal verbal and written communication skills andcomfortablecommunicatingwith clients as needed
• Achievement of, or working towards, an MS/MBA, CFA, CAIA, or CFP is a plus

The base salary for this role is$75,000 to $85,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.

iCapital is proud to be an Equal Employment Opportunity and Affidavit Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity,

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