BlackRock, Inc. is an American multinational investment company. It is the world’s largest asset manager, with $10 trillion in assets as of December 31, 2023. Headquartered in New York City, Blackrock has 70 offices in 30 countries, and clients in 100 countries. BlackRock is the manager of the iShares group of exchange-traded funds, and along with The Vanguard Group and State Street, it is considered to be one of the Big Three index fund managers. Its Aladdin software keeps track of investment portfolios for many major financial institutions and its BlackRock Solutions division provides financial risk management services. As of 2023, BlackRock was ranked 229th on the Fortune 500 list of the largest United States corporations by revenue. Details below.
Job description
About this role
SpiderRock Advisors (SRA) is seeking an investment professional to scale institutional client coverage across family offices, pension funds, and endowments by driving measurable improvements in client onboarding throughput, RFP win support, and ongoing service quality. This role is designed for a candidate coming from an investment seat who can translate portfolio construction, performance, and risk into clear client-ready analysis and messaging. Responsibilities span the full client lifecycle, from pre-mandate RFP and due diligence support through implementation and ongoing relationship management, partnering with Sales, Portfolio Management, and Middle/Back Office to deliver against defined service-level targets (e.g., onboarding cycle time, documentation accuracy, timeliness of deliverables, and issue resolution time). The successful candidate will apply strong analytical rigor to produce and explain investment and portfolio analytics (e.g., performance and risk drivers, attribution, exposures, and options strategy outcomes as applicable), track and report status and risk metrics, identify process bottlenecks, and implement controls to reduce errors and escalations. Knowledge of asset management operations is required; options expertise is preferred.
Key Responsibilities
- Partner with Sales and senior management team on institutional RFPs, DDQs, and consultant inquiries by producing data-driven responses, including portfolio construction, performance, risk, and options strategy analytics
- Building, operating and productizing bespoke analytics applications (e.g., Monte Carlo simulations) and managing derivatives strategy back testing.
- Own and improve the end-to-end client documentation lifecycle by implementing controls, tracking quality metrics (accuracy, rework, timeliness), and reducing exceptions and escalations
- Conduct product and account setup research by defining data, trading, reporting, and operational requirements; validate inputs in internal systems; and leverage SQL and Python as needed to reconcile data and support implementation
- Develop client-ready investment materials for proposals and reviews, including performance and risk attribution, exposure and positioning summaries, and strategy outcome analysis in partnership with Portfolio Management
- Manage delivery against service-level timelines by maintaining implementation dashboards, driving ownership and follow-through, and coordinating issue triage, escalation, and root cause resolution
- Identify, assess, and escalate investment and operational risks by monitoring key indicators, documenting action plans, and ensuring timely resolution and clear audit trails
- Set and manage stakeholder expectations by building implementation plans, defining dependencies, validating required data and documentation inputs, and communicating progress and risks
- Own the onboarding and ongoing client experience, including coordinating investment review cadence, preparing meeting materials, and responding to portfolio, performance, and risk questions with quantitative support
- Maintain disciplined internal communication via structured status reporting, action item tracking, and selective workflow automation using Python, SQL, and applied AI tools where appropriate
Key Qualifications
- 3-6 years of experience and knowledge of institutional investor client segment
- BA/BS Degree required
- CFA / IA and/or MBA preferred
- SIE, Series 7 and 66, or 63/65 licenses or the ability to obtain within the first 3-6 months of employment required
- Experience in wealth/asset management and equities and options
- Ability to review and analyze information from multiple sources and determine relevance
- Experience with Microsoft Office Suite and Adobe Cloud Studio desired
- Technical proficiency preferred, including Python, SQL and relational databases, and applied AI/ML tools for data analysis and workflow automation
- Experience with Salesforce a plus
- Independently identify issues, analyze problems and provide viable account and documentation solutions
- Demonstrate creative problem solving and solid judgment/decision-making
For Chicago, IL Only the salary range for this position is USD$140,000.00 – USD$200,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
Our hybrid work model
BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
Guidance on AI use for candidates
At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided guidance( opens in new window) on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.
