Performance & Risk Analytics (Consultant)

InvestM Technology LLC; Hyderabad; Hybrid; INR 1,800,000 - 2,400,000; Full time

Job summary

InvestM Technology LLC is seeking an Associate Contingent Worker in Hyderabad, operating on a hybrid schedule (3 days in office) with late-afternoon to early-morning hours IST. You will own risk and reporting deliverables, converting complex investment data into investor-ready materials and dashboards across multiple strategies.

The role requires 5+ years in financial services, strong Excel/SQL/Power BI skills, and the ability to coach analysts while improving automation and QA through GenAI

Qualifications

• 5+ years in asset management, investment banking, fund administration, or financial services, with exposure to private credit, private equity, investment reporting, or portfolio analytics;
• Strong knowledge of alternative-investment performance metrics, portfolio exposure attributes, and recurring investor-reporting workflows;
• Familiarity with return and performance concepts such as TWR, MWR, IRR, MOIC, TVPI, DPI and RVPI, plus exposure, attribution, benchmark, and investor-reporting outputs;
• Strong Excel skills, including formulas, pivot tables, lookups, Power Query, and data validation, plus SQL and/or Power BI experience;
• Strong written and verbal communication skills, with the ability to own workstreams, work cross-functionally, and turn complex data into clear analysis.

Responsibilities

• Own assigned strategy- and investment-level track records, including IRR, MOIC, TVPI, DPI, and RVPI, across recurring and ad hoc cycles;
• Review investment-level performance drivers and tie deployments, valuation changes, exits, distributions, exposure movements, and return drivers to approved source reports;
• Own assigned strategy, portfolio, investment-performance, exposure, attribution, client-template, and meeting-pack workflows across R&R-supported strategies;
• Prepare and review portfolio analytics covering loss, default, recovery, watchlist, leverage, yield, sector, geography, currency, fair value, and benchmark / PME analysis;
• Own investor-reporting data packs, RFP / DDQ inputs, capital-account and transaction schedules, and ILPA-style templates;
• Review bespoke client-template data, including exposure-by-GICS, BIS / Basel fields, instrument classifications, issuer details, fair-value exceptions, and bank-loan, CLO, and derivative economics;
• Maintain and improve LP, consultant, and internal trackers / reporting packs, including owners, due dates, side-letter, parallel-fund, eFront, and exclusion-list requirements;
• Use Excel, SQL, Python, and Power BI to convert large datasets and manual reports into reusable extracts, checks, dashboards, and paginated-report workflows;
• Build and test reporting assets across Client systems, governed datasets, Microsoft Fabric, semantic models, Power Query / M, DAX, and secure data-access patterns;
• Document, test, and version-control recurring outputs, using approved GenAI tools to improve analysis, documentation, and quality;
• Partner across investment, client, finance, valuation, data, technology, legal, and compliance teams while coaching analysts on recurring deliverables, data checks, and reporting standards;
• High initiative, strong work ethic, and independent ownership across assigned workstreams;

Skills

Asset management knowledge

Investment reporting experience

Excel proficiency

SQL experience

Power BI experience

Python for data analysis

GenAI tooling

Jira/Confluence knowledge

Education

Bachelor's degree

Tools

SQL

Power BI

Excel

Python

Jira

Confluence

Azure

Microsoft Fabric

Job description

Location: Hyderabad, India (Hybrid Schedule; 3 days in office)

Working Hours: 4 PM to 1 AM IST

Assignment Duration: 12 months

Overview

The Risk & Reporting (R&R) team delivers technology-enabled performance analytics and investor reporting across client's closed-end, open-end and evergreen strategies, including Private Credit, Opportunistic Credit, Asset-Backed Finance, Special Situations, and Real Estate. The team partners across investments, client, finance, valuation, data, technology, legal, and compliance groups to produce accurate performance, exposure, allocation, and client-reporting data.

As an Associate Contingent Worker, you will own assigned R&R deliverables, review investment-level data, and convert complex information into clear analysis, dashboards, and investor-ready materials.

Scope Includes

Performance & Reporting

• Own assigned strategy- and investment-level track records, including IRR, MOIC, TVPI, DPI, and RVPI, across recurring and ad hoc cycles;
• Review investment-level performance drivers and tie deployments, valuation changes, exits, distributions, exposure movements, and return drivers to approved source reports;
• Own assigned strategy, portfolio, investment-performance, exposure, attribution, client-template, and meeting-pack workflows across R&R-supported strategies;
• Prepare and review portfolio analytics covering loss, default, recovery, watchlist, leverage, yield, sector, geography, currency, fair value, and benchmark / PME analysis.

Investor Reporting

• Own investor-reporting data packs, RFP / DDQ inputs, capital-account and transaction schedules, and ILPA-style templates;
• Review bespoke client-template data, including exposure-by-GICS, BIS / Basel fields, instrument classifications, issuer details, fair-value exceptions, and bank-loan, CLO, and derivative economics;
• Maintain and improve LP, consultant, and internal trackers / reporting packs, including owners, due dates, side-letter, parallel-fund, eFront, and exclusion-list requirements.
• Use Excel, SQL, Python, and Power BI to convert large datasets and manual reports into reusable extracts, checks, dashboards, and paginated-report workflows;
• Build and test reporting assets across Client systems, governed datasets, Microsoft Fabric, semantic models, Power Query / M, DAX, and secure data-access patterns;
• Document, test, and version-control recurring outputs, using approved GenAI tools to improve analysis, documentation, and quality.

Partnership & Ownership

• Partner across investment, client, finance, valuation, data, technology, legal, and compliance teams while coaching analysts on recurring deliverables, data checks, and reporting standards.

Experience Required

• 5+ years in asset management, investment banking, fund administration, or financial services, with exposure to private credit, private equity, investment reporting, or portfolio analytics;
• Strong knowledge of alternative-investment performance metrics, portfolio exposure attributes, and recurring investor-reporting workflows;
• Familiarity with return and performance concepts such as TWR, MWR, IRR, MOIC, TVPI, DPI and RVPI, plus exposure, attribution, benchmark, and investor-reporting outputs;
• Strong Excel skills, including formulas, pivot tables, lookups, Power Query, and data validation, plus SQL and/or Power BI experience;
• Strong written and verbal communication skills, with the ability to own workstreams, work cross-functionally, and turn complex data into clear analysis.

Experience Preferred

• Python for data analysis / automation, prompt engineering with approved GenAI tools, and familiarity with Azure or Microsoft Fabric, semantic models, and deployment pipelines;
• Working knowledge of alternative-investment accounting concepts, investor-platform or eFront-style workflows, side letters, ILPA reporting standards, and Jira / Confluence.

How You Work

• High initiative, strong work ethic, and independent ownership across assigned workstreams;
• Curious, rigorous, organized, and team-oriented, with a builder's mindset focused on automation, quality, coaching, and continuous improvement.

Education & Credentials

• Bachelor's degree required. Industry-relevant professional credentials are a strong plus, including the CFA, FRM, CAIA, and CIPM designations, and/or a Chartered Accountant (CA) qualification.