Talantix.io
DataForce by TransPerfect•19.02.26
AI SCORE 8.5

Finance Domain Expert (Remote) - AI Project

$120K–$150K/year
RemoteAI/Big Data
Investment Banking•Asset Management•AI Algorithms•Financial Analysis•Bloomberg•Data Curation

About the Role

DataForce by TransPerfect is seeking experienced Finance Domain Experts specializing in Asset Management to support a cutting-edge Generative AI project. In this Finance Domain Expert (Remote) position, you will leverage your expertise in Investment Banking, Equity or Capital Markets, Portfolio Management, and Asset Management to help design workflows, create evaluations, and provide guidance that ensures our AI models deliver accurate, relevant, and high-quality results in financial tasks.

What You'll Do

  • Define common research and analysis workflows in finance.
  • Build test cases and evaluation criteria for AI workflows.
  • Assess AI model capabilities in financial tasks.
  • Identify and curate high-quality financial data.
  • Provide feedback on AI model outputs for improvement.

Requirements

  • 5+ years of experience in Investment Banking, Private Equity, Asset Management, or Equity Research.
  • Experience with AI algorithms and financial analysis tools.
  • Advanced skills in financial software like Bloomberg.
  • Strong analytical skills for financial processes.
  • Excellent communication skills for explaining complex concepts.
  • High attention to detail and accuracy.

Nice to Have

  • Familiarity with machine learning concepts.
  • Experience in developing AI-driven financial solutions.
  • Knowledge of regulatory requirements in finance.

What We Offer

  • Work remotely from anywhere in the US.
  • Engage in a cutting-edge AI project.
  • Collaborate with a leading company in language and technology solutions.
  • Opportunity to influence the development of AI in finance.
  • Flexible working hours to accommodate your schedule.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This role offers a unique opportunity to work on innovative AI projects in the finance sector, providing a chance to influence the future of financial technology.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Expertise in AI algorithms and their application in finance, with a strong understanding of how to integrate machine learning models into investment strategies, leveraging tools such as Python and R for data analysis.

→

Proven ability to curate and analyze large datasets, particularly using Bloomberg terminal functionalities, to drive insights into asset management and investment banking processes.

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Strong analytical mindset with a focus on financial analysis and modeling, ensuring accurate evaluations and performance assessments of AI-driven financial products and services.

Learning Resources

→Investment Banking: An Introductioncourse
→Financial Analysis Basicscourse
→Bloomberg Terminal User Guideguide

Career Path

Finance Domain Expert (Remote) - AI Project(Now)→Lead Finance AI Strategist(1-2 years)→Director of AI in Finance(3-5 years)

Market Overview

Investment Banking Market Size 2024
$150B
Annual Growth Rate (2024-2025)
5.2%
AI Adoption in Finance
60%
Investment in Fintech (2024)
+35%
Labour Demand for Finance Experts
+20%
Avg Salary for Finance Domain Experts
$150K

Skills & Requirements

Required
Investment BankingAsset ManagementAI Algorithms
Growing in Demand
Machine Learning for Financial ModelingBlockchain Technology in FinancePredictive Analytics in Investment Strategies
Declining
Traditional Excel-Based Financial ModelingLegacy Risk Management Systems

Domain Trends

Increased Use of AI in Investment Decisions
Over 60% of investment firms are integrating AI algorithms to automate trading and enhance decision-making processes.
Rise of Data-Driven Financial Services
By 2025, 70% of financial institutions will leverage big data analytics for improved customer insights and tailored investment solutions.
Shift Towards ESG Investing
Investment in Environmental, Social, and Governance (ESG) assets is projected to grow by 25% annually, with AI playing a key role in analyzing ESG metrics.

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