Category Archives: Financial Services Insurance

Director/Sr. Director/VP Business Transformation

Our clients are looking for candidates to lead Business Transformation across billion dollar global organizations.

Responsibilities such as:

  • Conceptualize growth strategies and drive their execution
  • Make decisions that support and drive the organization strategy; build alignment within the organization to support these decisions
  • Development of change strategies and plans for accelerated implementation of new organization designs and processes

These clients include the following sectors

  • Healthcare
  • Financial Services
  • Telecom
  • Technology
  • Insurance

Site locations include: NYC, NJ, Philadelphia, Boston, San Francisco, Seattle and opportunities across Europe and Asia

Ideal candidates have 6+ years of experience in management consulting.  MBA strong preferred

Please email resume to for consideration

Vice President Corporate Strategy : NJ-NYC-San Francisco

Multiple opportunities to use your consulting experience client side in  high-intensity, high-impact experience similar in structure to top-tier consulting firms (McKinsey, Bain, BCG…).  You will be mentored and supported by the team’s leadership which has extensive consulting and industry expertise.

Industries include: Pharma, Biotech, Financial Services, Insurance, Tech and Telecom


  • Oversee project structure, approach and process
  • Manage overall project delivery in terms of quality and respect of deadlines
  • Lead and manage presentations for management
  • Bring content expertise and drive resolution of complex issues
  • Build long term relationships with clients
  • Lead proposals to acquire new projects
  • Manage and motivate resources at all levels


  • Senior level Project Manager/Consultant  with executive presence and comfort working with senior executives
  • 7+ years of experience leading large transversal projects
  • MBA Preferred


Problem Solving

  • Manages one or two projects independently
  • Designs and structures the overall support
  • Supervises work schedules to ensure project delivery


  • Presents convincingly in client interactions
  • Writes sharp and straight-to-the-point management summaries

Quality of work:

  • Ability to deliver quality results against fast paced project deliverable deadlines
  • Sets high quality standards
  • Provides overall project presentations in high quality
  • Proven ability to execute complex projects with large number of dependencies

Client Relationship:

  • Builds legitimacy with clients while preserving independence


  • Is seen as a role model to the entire team


  • Solves client conflicts at management level
  • Provides honest and independent advice

Qualified candidates should email resume to



Successful Placements and Opportunities

Here’s a sample of our recent activity:

Open positions:

  • Director, Business Ops – Cambridge, MA Biotech
  • Director or Sr. Director, -Licensing & BD – Pennsylvania
  • Director, Global Launch Lead – CDx
  • Director, Companion Dx Commercial Lead – NJ
  • CEO/EIR- NYC Biotech (Protein Degradation)
  • Oncology Clinical Development – NJ and MA
  • Biotech Equity Research Analyst – NYC
  • VP, M&A and Corporate Development, Princeton, NJ
  • Commercial Lead – Women’s Cancers Breast/Gynecologic-NJ
  • NJ -VP/Director Operations Consulting
  • VP, Clinical Research – Stem Cell Transplant (Hem/Onc) – Cambridge 
  • Director Dx and NGS Alliance and BD – Nationwide
  • Sr. Level Market Access, Pricing and Value Leaders for premier Management Consultancy
  • Corporate VP – Strategic Capabilities Initiatives – NYC
  • VP- Consulting Americas FinOps – NYC
  • Healthcare Banking – Director, VP and Associates
  • Head of Analytics, Pharma Chicago and NJ (2 distinct roles)
  • Multiple Medical Director, Clinical roles in NJ
  • Head of Clinical Development – Oncology – NYC Metro
  • Medical Monitors – Oncology Biotech NYC Metro
  • Partner/MD – Boutique Life Sciences Consulting – Boston, SFO or NYC
  • VP, Clinical Research (Multiple opportunities in Oncology)
  • Computation Biologist/Bioinformatics and Genomics
  • NYC & Cambridge -Sr. Director, Strategic Planning – Zurich
  • Director of Business Development & Licensing
  • Central NJ -Sr/ Director of Medical Operations and Training
  • Central NJ -Sr/Director Global Medical Affairs
  • NJ -VP/Director Operations Consulting




  • Director, Worldwide Strategic Analytics; Oncology – NJ
  • Director of BD&L and Corporate Strategy – NJ
  • Director, Business Development & Clinical Collaborations Oncology Commercialization
  • Director of Market Insights and Business Intelligence, Boston
  • A/D, Forecasting and Market Analytics-Boston
  • Manager, Healthcare Predictive Analytics
  • San Francisco -A/D of Commercial Operation, Boston
  • VP, Operations Consulting – NYC Bank -SVP, Corporate Strategy and BD
  • Sr Director, Immuno-Oncology Portfolio -Director of Commercial Strategy, Rare Diseases
  • VP, Global Medical Affairs, Rare Diseases
  • Several Strategy Consultants
  • Global Lead, Search and Evaluation
  • Lead, Global Launch / Marketing
  • Clinical Research Physician, Oncology
  • Investment Banking Associate, Healthcare M&A



Corporate Vice President, Strategic Capabilities

Corporate Vice President, Strategic Capabilities. This is a new team that will be responsible for development and delivery of strategic capabilities, including application of new data (e.g. digital health data) and advanced analytics tools and techniques, to deliver customer value or operational efficiencies across the life insurance value chain.

This is a unique opportunity to have a significant impact on the future growth and operations of the company through the development of key strategic capabilities as we continue building out its customer-centric strategy, business model, and marketing and risk assessment capabilities.

The ideal candidate will have several years of prior consulting experience from a top-tier consulting firm along with significant operating experience in strategy, business development or product development within a corporate environment. Substantial experience within the broader technology industry, with a focus on healthcare technology along with a strong understanding of the digital health space is preferred. Experience working directly with early-mid stage companies, including startups will be considered a plus.

Extensive experience leading and influencing large cross-functional teams in complex multi-disciplinary projects is an essential requirement. The ideal candidate will have a strong execution skills with a solid focus on driving concrete business or operational results. The candidate must have the ability to quickly identify and align with key functional stakeholders, and build effective working relationships with members across different teams to forge productive, efficient cross-functional project teams that are committed to delivering tangible results.

Key Relationships:

Functional areas: Strategy Development, Advanced Analytics, Underwriting, Technology, Marketing Strategy, Customer Insights, Agency Marketing, Product Development, Product Management, Data Solutions & Governance

Major Responsibilities:

  • Develop deep understanding of emerging digital health landscape including promising early-mid stage companies that can provide new, innovative data and advanced analytics capabilities
  • Help to develop a thoughtful strategic approach and execution plan for within the broader digital health landscape
  • Work with external partners and vendors as needed to conceive and execute a process for evaluation of new, innovative data sources for risk assessment and advanced analytics
  • Lead project planning and execution of critical cross-functional initiatives linked to the development of key strategic capabilities
  • For above projects, lead all activities related to strategic goal identification, roadmap development, detailed workstream planning and execution, resource requirements and availability, and governance and program management
  • Create highly effective cross-functional working teams with key workstreams staffed by team members from relevant functional areas
  • Take overall ownership of projects, lead the team in achieving results and deliver on key objectives
  • Manage pilot projects to evaluate new data sources and analytics capabilities, set clear pilot evaluation criteria, work with operational teams to operationalize data and capabilities that successfully meet pilot criteria
  • Manage project governance, and effectively communicate project status senior management on a regular basis
  • Help in iterative development of long-term strategy and operating plan for IAG, and support strategic decision making with research, modeling, analysis, and effective presentations of key factors influencing and driving the businesses
  • Drive collaborative development of core long-term strategic operating plan, including channel mix, product mix, execution strategy, capability gaps, strategic initiatives and key performance indicators
  • Develop materials to communicate strategic approach and execution plan to various constituencies, including board members, executive management, key stakeholders and working teams


Skills, Qualities:

  • Self-motivated, with strong leadership skills and executive leadership presence
  • Very strong communication skills, and a collaborative work style, with the ability to earn the trust of senior management and peers across the organization
  • Ability to influence and lead cross-functional teams in the realization of project goals and time-bound deliverables; experience coordinating and leading projects across cross-functional teams
  • Very strong analytical and synthesis skills
  • Strong execution orientation, with a drive to deliver tangible results is an absolute must
  • Ability to prioritize multiple assignments and multi-task is essential; must be very organized and have excellent follow-up and problem solving skills
  • Deep knowledge of Excel and excellent Powerpoint skills required; experience with databases and analytic/statistical tools helpful
  • Outstanding judgment, critical thinking, and time management skills
  • Exceptional verbal and written skills, with the ability to communicate effectively with senior management using presentations, emails, telephone conferences and discussions
  • Knowledge and understanding of NYL’s insurance and annuity products and distribution very helpful


  • Minimum of 10 – 12+ years of experience in roles across consulting, corporate strategy, corporate business development, or product management requiring in-depth business and financial analysis, synthesis and presentations to senior management
  • Top-tier management consulting or corporate strategy and business development experience required, including building partnerships and delivering concrete business results with companies of various sizes
  • M&A experience a plus but not required
  • Experience and knowledge of the healthcare industry, especially use of digital health data, a strong plus
  • Broad knowledge of startup space, particularly within health care and digital data. Ability to identify high-potential early-stage partners.
  • Experience leading cross-functional teams in complex project settings, with the ability to deliver on aggressive targets
  • Broad knowledge of the Life Insurance industry a strong plus
  • Solid experience with and aptitude for conducting research and analysis, including fairly detailed financial analysis


  • Engineering, math, business, computer science or other technology undergraduate degree
  • MBA required; actuarial training or CFA a strong plus

Qualified candidates should email resume to

Marketing Mix & Attribution Modeling Manager

The role of Marketing Mix & Attribution Modeling Manager is a highly quantitative role with responsibilities including:
•Build, maintain and evolve market level mix models to estimate causal impacts of marketing activities on financial outcomes in the short and long term
•Build, maintain and evolve customer level attribution models to explain longitudinal behavioral shifts associated with exposure to a varying combination of touch point exposures
•Measure the long-term impacts on customer behavior
•Automate input ETL, iterative solution search and operationalization of models

This person will have significant interactions with other analytics teams in Marketing Insights & Analytics and is expected to provide analytical thought leadership and bring cutting edge statistical knowledge to solve complex marketing problems. Deep technical skills, ability to continuously learn from industry and academic work, and strong communication skills will be determining factors in selection.

A successful applicant will demonstrate:
•Ability to deliver critical insights and analysis
•Collaborative partnership and strong influencing skills
•Ability to extract insights to identify growth opportunities and effectively communicate outcomes and recommendations
•Lead effective data analysis that may suggest risk or opportunities
•Partnership/collaboration with marketing business partners and other enterprise teams

Required Qualifications

6+ years of experience in one or a combination of the following: reporting, analytics, or modeling
2+ years of management experience

Desired Qualifications

Excellent verbal, written, and interpersonal communication skills
Strong analytical skills with high attention to detail and accuracy

Other Desired Qualifications

5+ years of experience in regression based modeling
3+ hands-on experience programming marketing mix modeling solutions in SAS
Expertise on hierarchical Bayesian and MCMC approaches
Proven history of developing innovative, cutting-edge causal measurement capabilities across the range of marketing activities, including TV, print, radio, OOH, paid search, display, online video, owned media, sponsorships and promotions
Significant experience coding and maintaining stand along SAS-based applications
Deep knowledge of statistical areas such as ANOVA, Multiple Regression, Time-series Modeling, Principal Component Analyses, Decision Trees, Clustering, etc
Experience programming in R, SQL, Python and GAMS
Experience working in marketing/ customer analytics organizations
Demonstrated ability to play a leadership role in large, complex analytical projects
Strong sense of ownership, relentless curiosity, and self-driven approach to problem solving
Consistent pattern of digging into the raw respondent data
Exceptionally strong technical background
Experience/ exposure to data and analytics in Banking and Financial Services industry
qualified candidates should email resume to

Analytics and Insights Manager – Financial Services

Insights and Analytics Team:

This role is part of the Insights and Analytics Team which is being created to be the best-in-class Decision-Support organization that can provide insights to inform our business/customer marketing and product strategy as well as our broader strategic initiatives, and identify new growth and profitability opportunities.

This team is responsible for making sure that the “voice of the customer” is included in internal discussions across the enterprise.

Reporting to the Cross-LOB/Enterprise Customer Analytics manager, this manager position will be responsible for delivering a suite of analyses and regular metrics about customers from a holistic cross-product, cross-channel, Enterprise perspective. Analytic topic topics include acquisition, attrition, diminishment and segmentation. There are bodies of work that are net new to the firm so thought leadership is required to formulate and solve problems in ways that are outside the norm. This leader will interface with Marketing, LOB, EDA, Compliance, Risk and Legal partners regularly so the ability to build partnerships and communicate complex ideas in an easily understood format is essential. The manager will lead and inspire TMs and MRs to identify actionable behavioral insights about customers.

The Successful Applicant will be expected to:
• Be responsible for delivering analysis, insights and decision strategies for Enterprise Marketing and its partners. Outcomes will be sizable and potentially, enterprise-wide impact.
• Provide leadership to other consultants and analysts in the integration/implementation of programs/services/initiatives with cross functional business partners, recognizing the significance of competing priorities and strategies, and adjusting as necessary.
• Provide leadership on data strategy and analytic tools needed to provide meaningful strategic insights on a sustained basis.
• Evaluate, recommend and implement strategies for developing and utilizing technical resources to predict, improve and measure the success of fundamentals and new initiatives linked to business outcomes.
• Have a deep understanding of internal business strategies and objectives.
• Identify and integrate external market factors that impact or drive business outcomes.
• Define measurement standards and collaborates with business partners to achieve consistent agreement and application of definitions, measurements and interpretation.
• Build analytical capabilities and manages modeling, forecasting, reporting and data analysis tools and processes.

Locations: Flexible with a preference for San Francisco or Charlotte.

Required Qualifications

•8+ years of experience in one or a combination of the following: reporting, analytics, or modeling
•4+ years of management experience
•8+ years of SQL or SAS experience

Desired Qualifications

•10+ years of marketing analytics experience
•10+ years of consultative business analysis experience
•Excellent verbal, written, and interpersonal communication skills

Other Desired Qualifications

•Excellent project management skills and the ability to manage complex projects across a matrixed environment
•Self-motivated credible/articulate leader, fully comfor representing the direct marketing process and being a technical voice for the group in senior and cross business forums.
•Superior analytic and consulting skills are required along with excellent people and relationship management skills
•Experience in the financial services sector with an understanding of credit, deposit, wealth management, and insurance products as well as online products such as electronic payments and online banking.
•Demonstrated experience with web analytics in a multichannel, multiproduct business.
•Experience with Big Data environments like Aster and Hadoop.
•Experience with R and Machine Learning algorithms.
•A true team player/leader and collaborator, translating prior knowledge and experience into strong and productive relationships internally and externally.
•Recruiting, developing, motivating and retaining talented team members, with an emphasis on creating a strong team environment.
•BA or BS in a technical field. Advanced level education is preferred
qualified candidates should email resume to

Sr. Data Scientist

Right now, we are looking for a tenured data scientist to help us design and build the next generation of predictive tools that will guide our digital capabilities and offerings. The position offers a unique opportunity to be part of a small, fast-paced, challenging, and “start-up” like environment.

• Apply various statistical and machine learning techniques, to develop segmentations, predictive models, experimental designs, and decision analyses
• Gather, manipulate, and analyze large data sets from multiple sources
• Develop algorithms to optimize product offering, pricing, and distribution channel
• Transform data into impactful business insights, strategy recommendations and implementation plans to improve key performance metrics for the business
• Evaluate model output, formulate and test hypotheses, weigh alternatives, and determine appropriate responses
• Apply deep, creative, rigorous thinking to solve broad business problems
• Collaborate closely with various functional groups such as Product, Marketing, and Technology to successfully deliver results
• Effectively communicate findings and solutions to a variety of audiences
*** The preferred locations are posted but we will consider anyone located within the  footprint

Required Qualifications:
• 8+ years of experience in one or a combination of the following: reporting, analytics, or modeling or a Masters’ degree or higher in a quantitative field such as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis and 5+ years of experience in one or a combination of the following: reporting, analytics, or modeling
• 5 + years of experience building predictive models
• 5 + years of experience using quantitative machine learning techniques

Desired Qualifications:
• Extensive knowledge and understanding of research and analysis
• Strong analytical skills with high attention to detail and accuracy
• Excellent verbal, written, and interpersonal communication skills
• Ability to think creatively to find innovative solutions to complex analytical questions
• Ability to work in a fast paced deadline driven environment
Other Desired Qualifications
• 6+ years of hands-on experience building predictive models using regression analysis
• 5+ years hands-on supervised and unsupervised machine learning techniques (e.g. CHAID, random forest, boosted trees, Bayesian modeling, support vector machines, neural networks, clustering, graphical models)
• Expert knowledge of SAS and SQL.
• Hands-on experience with one or more of the following: R, Python, Pig, Hive.
• Hands-on experience with distributed computing e.g. Hadoop
• Familiarity with web analytics concepts (i.e. sales funnel analysis, click through, impressions, etc.)
• Breadth of knowledge includes full lifecycle of customer from targeting to acquisition, customer performance, loyalty and retention
• Financial industry and digital marketing experience a plus
• Familiarity with digital channel systems, processes, and analytic tool


qualified candidates should email resume to

Ops Risk Consultant – Model/EUC Risk Officer

Ops Risk Consultant – Model/EUC Risk Officer

San Francisco, CA

Newly created group which was formed to bring all of the firm’s investment portfolios under combined leadership. IP manages investment grade and high yield debt securities, bank debt, and other credit investments. The group leverages our credit culture and expertise to make attractive risk/return investments for the bank with an emphasis on fundamental credit analysis.

This position is within the Investment Portfolio Operational Risk Management Group which is responsible for the development and management of the operational risk platform supporting the Investment Portfolio business under Wholesale Banking.

This individual will be responsible for the following:
•Development and management of a governance program to ensure conformance to the Corporate Model Risk Management Policy and the Model Risk Functional Framework and Oversight Policy
•Development and management of a governance program to ensure conformance to the End User Computing Tools Policy
•Serve as the End User Computing Tools Coordinator acting as the first line of defense for EUCT compliance activities across the Investment Portfolio
•Work closely with the Investment Portfolio Risk Analytics role to ensure appropriate first line of defense governance around the creation, development and usage of QTMs across the Investment Portfolio
•Evaluate the adequacy and effectiveness of policies, procedures, processes, systems and internal controls analyze business and/or system changes to determine impact, identify and assess operational risk issues
•Report findings and develop business cases to influence senior management on the need for controls to mitigate risk
•Consult with businesses to develop corrective action plans and effectively manage change

This position requires an understanding of the business lines ability to develop a cross-functional knowledge of risk responsibilities to gain a deep understanding of the IP framework, as well as specific internal corporate requirements.

Desired Qualifications:
•Minimum of 10 years experience in operational risk management processes and/or compliance or audit programs with at least half of that time having been spent in the Wholesale Banking line of business
•Working knowledge of Enterprise and Wholesale policies and procedures
•Experience collaborating with cross-organizational groups and functions, including technology, corporate real estate, etc.
•Strong understanding of expected controls (e.g. market, credit, finance, compliance, operations) across a variety of complex businesses
•Knowledge and a broad background in evaluating, measuring and managing financial and reputation risk arising from securities transactions, brokerage, fiduciary businesses and related operations
•Proven ability to analyze data and raise potential risks to management
•Ability to demonstrate strong organizational skills, attention to detail, and adherence to strict deadlines in a fast-paced environment
•Strong communication, negotiation, and collaboration skills, including the ability to negotiate with numerous parties and reach agreeable solutions
•Prior success in working and communicating with senior level executives
•Experience with corporate organizational structure, the operational risk processes, and the systems necessary to support the IP operational risk program (e.g. RCSA, CICAT, ILD, ORR, WAM, TRIMS, etc.)
•Proven ability and experience in being able to look at the big picture across a risk program and implement successful strategy and solutions
•Ability to adapt to changing and competing priorities
•Ability to effectively multi-task and successfully work on several unrelated projects at the same time
•4 year BS/BA degree or equivalent experience

qualified candidates should send resume to


Consulting Americas – NYC: Associates

Working at Ops Consulting NA is a high-intensity, high-impact experience similar in structure to top-tier consulting firms (McKinsey, Bain, BCG…), with access to the resources of a premier investment bank.  You will be mentored and supported by the team’s leadership which has extensive consulting and finance expertise.  Our staffing model will provide you with significant independence, exposure and opportunity for innovation, allowing you to develop both technical and soft skills. Your work will play a significant role in influencing the future of the bank.


  • Develop creative approaches to problem solving
  • Mentor and develop junior colleagues
  • Develop and maintain strong client relationships
  • Prepare and participate in presentations and interviews
  • Perform market research and data analysis
  • Provide core PMO support e.g. project planning, status reporting, issue lists


  • 3+ years in finance, risk, compliance or consulting prior to B School and proven desire to work in the financial industry


  • Strong quantitative and qualitative analytical skills
  • Excellent communication and interpersonal skills
  • Strong attention to detail and ability to respect deadlines
  • Ability to multi-task and work collaboratively within a team
  • Industry knowledge, including awareness of regulatory standards and familiarity with risk, regulatory or finance topics
  • Proficiency in MS Office
  • A keen intellectual curiosity and sense of drive

Qualified candidates should email resume to

Machine Learning Quantitative Analyst NYC or Jersey City

The Machine Learning Quantitative Analyst will work in our enterprise solutions area and work collaboratively to build a liquidity tool for banks, broker dealers, hedge funds, and other firms. You will be responsible for conducting statistical analysis, developing machine learning methodologies, model estimation and overseeing part of the research activities. Key responsibilities will also include exploring current academia and market best practices in machine learning approaches, accessing quality controls around different approaches and suggesting new approaches in research.

You will need to show special attention to data integrity and robustness of various models, a rigorous scientific/statistical approach and a complete IT background. Experience in taking on independent research in developing a machine learning methodology from the ground up will be necessary.

You’ll need to have:

  • An advanced degree in an applied numerical field: Mathematics, Statistics, Computer Science, Operations Research, etc.
  • 1+ years of machine learning experience in professional role.
  • A solid understanding of different machine learning techniques including: dimension reduction, manifold learning, and distance metric training
  • Strong quantitative analysis, programming, and statistical modeling skills.
  • A track record of gathering, matching, and pre-processing large data sets from varied sources and of different characteristics.
  • Experience in the analysis on mixed features: continuous and categorical.
  •  Experience with Python, R, or Matlab.
  • Previously used SPARK, scikit-learn, etc.
  • Parallel computing experience a plus.
  • Communication skills both written and spoken.


  • Financial industry experience
  • Knowledge of Natural language processing
  • Previous usage of Scala
  • Parallel computing experience


Quantitative Investment Risk Analyst -NYC



The primary purpose of this role is to work with the Portfolio Risk Manager overseeing the firm’s multi-asset class risk program to support the build-out of the platform and add depth to better support portfolio managers on the Asset Allocation team.  Activities undertaken by the Investment Risk Analyst in this position will facilitate risk identification, measurement, and monitoring focusing on portfolios investing in equity, fixed income, and alternative instruments in both the cash and derivatives markets.


Development of Risk Modeling Methodologies:  Prototype and develop risk models and methodologies (and related reporting) to identify and measure sources of risk within investment portfolios and across portfolios. Development activities will include tasks related to the development of methodologies to be used and specification of data storage and reporting requirements. Development will be coordinated with the Portfolio Risk Manager overseeing the multi-asset class risk program and will include collaboration with associates in fixed income, asset allocation, and technology. Programming will be required to prototype calculation engines and provide proof of concept.

Day-to-day Risk Management Activities:  Support the Portfolio Risk Manager overseeing the multi-asset class risk program with the day-to-day measurement, monitoring, and communication of risk in multi-asset portfolios. This includes the following activities:  monitoring portfolios for changes in their risk profiles; performing portfolio stress tests based on both hypothetical and historic scenarios; analyzing the interaction between sub-portfolios that act as building blocks and the overall multi-asset class portfolio; and assisting the Portfolio Risk Manager in his/her communication of risks to portfolio managers, senior management, clients, prospective clients, consultants, and regulators.

Ad-hoc Quantitative Analysis:  Perform ad-hoc quantitative analysis contributing to investment risk efforts, increasing and enhancing the firm’s risk management capabilities. Contribute to the development of new products by consulting with the Asset Allocation research team on the risk profile of proposed multi-asset portfolios.

Communication of Risks:  Communicate about market risk to audiences outside of the risk team as deemed appropriate by the Portfolio Risk Manager responsible for the multi-asset class risk effort.



  • Graduate degree in a quantitative field such as quantitative finance, statistics, applied mathematics, or engineering
  • Professional accreditations such as CFA, FRM, PRM, CAIA preferred
  • Strong knowledge of programming in MATLAB, Python, and Microsoft SQL


  • Strong knowledge of derivatives pricing and risk modeling
  • Familiarity with multi-factor risk modeling in a multi-asset class setting (equity, fixed income, hedge funds, alts, derivatives)
  • Strong analytical and communication skills
  • Ability to work effectively in a fast-paced environment
  • Ability to work independently or as a member of a team
  • Strong organizational skills
  • Strong interpersonal skills that demonstrate the ability to handle complex interactions and reconcile differing views
  • College degree and 5 years of relevant work experience related to fixed income and/or multi-asset class risk management or quant work
  • Strong knowledge of programming in MATLAB and Microsoft SQL